{"id":"W3138425707","doi":"10.33540/579","title":"The Regulation of “Modern” Ocean Data Collection Activities under UNCLOS","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"European Commission; China Scholarship Council; University of Oxford; U.S. Department of State","keywords":"United Nations Convention on the Law of the Sea; Scope (computer science); Data collection; Political science; Constitution; Convention; Marine conservation; Geography; Environmental resource management; Law; Computer science; Environmental science; Sociology; Social science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002026691,0.0001417616,0.0001416844,0.00002584283,0.0002196393,0.00007132687,0.0004967633,0.0001337911,0.003294039],"category_scores_gemma":[0.00006694726,0.0001117289,0.00004584478,0.0001525813,0.00008831707,0.0003084642,0.0001833937,0.0001306603,0.00003673217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940168,"about_ca_system_score_gemma":0.00004629127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341885,"about_ca_topic_score_gemma":0.01272155,"domain_scores_codex":[0.9986075,0.00006831516,0.0002554346,0.0003386649,0.0006053912,0.0001247504],"domain_scores_gemma":[0.9989819,0.0001824448,0.0002093813,0.0005702708,0.00003505033,0.00002093236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00149023,0.001109978,0.01355917,0.0005045001,0.001490287,0.00001087871,0.007112089,0.009166243,0.1710877,0.1350588,0.5312248,0.1281853],"study_design_scores_gemma":[0.0009566595,0.0001937002,0.4981766,0.0004658362,0.0003918619,0.00002341287,0.00988802,0.06458691,0.1892577,0.1554418,0.07907023,0.001547305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3288661,0.0003189771,0.0004477064,0.0005320695,0.001283234,0.0004967459,0.00005569826,0.0000659365,0.6679335],"genre_scores_gemma":[0.6713017,0.0000838664,0.0004093,0.00003129591,0.00005683752,0.000006010405,0.002754738,0.00002198073,0.3253343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4846174,"threshold_uncertainty_score":0.9976171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713284290246468,"score_gpt":0.2708636053183091,"score_spread":0.2537307624158444,"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."}}