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        "reference": "Arkhangelsky et al. (American Economic Review, 2021) Synthetic DiD"
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        "tail_amplification_ratio": -9.857,
        "reference": "Şen (2020, 2021) Innovative Polygon & Sub-Regime Quantile Trend Analysis"
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      "transfer_entropy_causal": {
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        "bins": 3,
        "transfer_entropy_x_to_y_bits": 0.03527,
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        "dominant_causal_direction": "Y -> X (Y is the dominant nonlinear driver of X)",
        "reference": "Runge et al. (Nature Communications, 2019; Nat. Rev. Earth Environ., 2023)"
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        "distance_nm": 259.78,
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      "cli_cite": "Piri Reis University Maritime Sustainability Research Centre, & GOMD Scientific Consortium. (2026). GOMD: A Harmonized Global Ocean, Maritime, and Climate Data Platform with Official Python and R Software Development Kits for Reproducible Marine Governance and Decarbonization Analytics (Version 2.0.0) [Computer software & Dataset]. GOMD Technical & Scientific Reference Series, 1(1), 1–28. https://gomd.pirireis.edu.tr/sdk_paper.php",
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}