{"id":"W2089706371","doi":"10.1163/092735208x331872","title":"The Protection of the Marine Environment from Land-Based Pollution and Activities: Gauging the Tides of Global and Regional Governance","year":2008,"lang":"en","type":"article","venue":"The International Journal of Marine and Coastal Law","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Documentation; Environmental planning; Corporate governance; Environmental resource management; Marine pollution; Pollution; Business; Environmental protection; Geography; Environmental science; Ecology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003460461,0.0001745272,0.0001697756,0.001626946,0.0008160764,0.00577181,0.0004136975,0.0006512987,0.001704357],"category_scores_gemma":[0.005225556,0.0001080992,0.0001549352,0.003482612,0.00478925,0.002879851,0.002457894,0.001166191,0.000163467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003643403,"about_ca_system_score_gemma":0.003717726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992415,"about_ca_topic_score_gemma":0.03455035,"domain_scores_codex":[0.9981757,0.001024959,0.0001033981,0.0001467672,0.0003897426,0.0001594926],"domain_scores_gemma":[0.9967198,0.001450997,0.0007746291,0.0002707998,0.0006175622,0.0001661999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005265776,0.00003418271,0.0893103,0.0005542019,0.00005224265,0.0004856349,0.01519765,0.007645521,0.002252521,0.6808985,0.01676905,0.1867476],"study_design_scores_gemma":[0.00001623944,0.0003057084,0.3629905,0.002631978,0.00007265448,0.0003510889,0.07120737,0.006888002,0.002557895,0.1864127,0.3664733,0.00009256438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4405554,0.02676865,0.02502374,0.05897417,0.0001599716,0.00017722,0.0007784126,0.0001457403,0.4474166],"genre_scores_gemma":[0.9854699,0.006058581,0.003348856,0.001009086,0.00004471757,0.00003635235,0.00008318962,0.0000128936,0.003936273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01992415,"threshold_uncertainty_score":0.03961635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006889701686548184,"score_gpt":0.1900863701552604,"score_spread":0.1831966684687122,"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."}}