{"id":"W2089203084","doi":"10.1111/j.1747-6593.2001.tb00304.x","title":"The Prevention of Oil and Chemical Pollution: Proactive Approaches in the UK and Canada","year":2001,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"Division of Chemistry","keywords":"Oil pollution; Pollution; Environmental planning; Pollution prevention; Environmental protection; Political science; Oil spill; Business; Environmental resource management; Environmental science; Engineering; Waste management; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212979,0.00008643232,0.00007991662,0.000006540487,0.0002433871,0.00003535276,0.00007692171,0.00002957,0.00007918455],"category_scores_gemma":[0.000002210241,0.00004216805,0.0000157065,0.00001623621,0.0003041268,0.0001272483,0.0001041909,0.0001383205,9.346377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180463,"about_ca_system_score_gemma":0.000004642842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093101,"about_ca_topic_score_gemma":0.00648683,"domain_scores_codex":[0.9992449,0.00007770939,0.0001470124,0.0001091436,0.0002401679,0.0001810965],"domain_scores_gemma":[0.999813,0.00001742344,0.00004426981,0.00006162708,3.434651e-7,0.00006331957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230503,0.0002475485,0.8141264,0.00001043261,0.00007232298,0.00002779813,0.007751715,0.0001429154,0.01678205,0.00005637146,0.0002742928,0.1603851],"study_design_scores_gemma":[0.0007344502,0.00010875,0.9836215,0.00001110065,0.00003638639,0.0003089907,0.005008913,0.00007386715,0.002243026,0.001688545,0.006008164,0.0001563344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962341,0.0001557733,0.00001303999,0.001794668,0.00001774449,0.0000510307,0.000001409296,6.618051e-7,0.001731596],"genre_scores_gemma":[0.996882,0.002567658,0.00005382498,0.00007709802,0.000024734,0.000006733002,0.000001852548,0.000003558147,0.0003825213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694951,"threshold_uncertainty_score":0.9985121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685821850222897,"score_gpt":0.2127594590184832,"score_spread":0.1959012405162542,"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."}}