{"id":"W2154642757","doi":"10.1017/s0373463302001972","title":"Geomatics Aspects of the UN Convention on Law of the Sea – A Case Study","year":2002,"lang":"en","type":"article","venue":"Journal of Navigation","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"United Nations Convention on the Law of the Sea; Geomatics; Maritime boundary; Geography; Political science; Geodetic datum; Law; Boundary (topology); Convention; International law; Cartography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003330142,0.0000485922,0.00008569905,0.00001133687,0.00006794141,0.000008895931,0.0001856796,0.00002259441,0.0002964442],"category_scores_gemma":[0.00005328301,0.00002790417,0.00008203239,0.0001263265,0.00009733887,0.000127484,0.0000506781,0.0001153273,0.00001299115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009163607,"about_ca_system_score_gemma":0.000003445994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000384573,"about_ca_topic_score_gemma":0.00009745821,"domain_scores_codex":[0.9988872,0.0001312015,0.0003271714,0.00004639184,0.0005589959,0.00004905997],"domain_scores_gemma":[0.9991553,0.00006746937,0.0005790693,0.0001310698,0.00005111412,0.00001597694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002386677,0.01465707,0.7104911,0.0002125567,0.0007315175,0.001339105,0.03051249,0.04308363,0.06896114,0.1075104,0.003825305,0.01843705],"study_design_scores_gemma":[0.004400176,0.002684919,0.6800217,0.001132526,0.0004527419,0.005466621,0.003422458,0.01617615,0.2319025,0.05206295,0.00192182,0.0003554847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923071,0.000009055852,0.00001123468,0.0004942304,0.0001646637,0.0001563483,0.000002776254,0.000001449662,0.006853162],"genre_scores_gemma":[0.9996985,0.000001028793,0.00008239595,0.00006681964,0.0000306755,7.70786e-7,2.451559e-7,0.000003945165,0.0001156511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1629413,"threshold_uncertainty_score":0.3245856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445410906482972,"score_gpt":0.2460397054289996,"score_spread":0.2315855963641699,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}