{"id":"W2774904562","doi":"10.1126/science.aar5529","title":"Lessons learned from cetacean tragedies","year":2017,"lang":"en","type":"letter","venue":"Science","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Whale; Wildlife; Right whale; Fishery; History; Environmental ethics; Geography; Ecology; Biology; Philosophy","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":[0.01391293,0.0006548267,0.0006821397,0.0009402359,0.005237401,0.009292042,0.001927779,0.0188788,0.02109322],"category_scores_gemma":[0.04453085,0.0004429887,0.0008376361,0.0008574626,0.004726076,0.009548061,0.00432376,0.02777935,0.006548171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004553727,"about_ca_system_score_gemma":0.00795134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236122,"about_ca_topic_score_gemma":0.02623414,"domain_scores_codex":[0.9908072,0.003577324,0.0006375294,0.000846412,0.002899177,0.001232199],"domain_scores_gemma":[0.9709807,0.01854623,0.0009595287,0.001005625,0.005518829,0.002989043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005219534,0.00007395002,0.0007702286,0.0003355055,0.00002451377,0.001025658,0.002633181,0.00010308,0.0001243994,0.01043489,0.925961,0.05846139],"study_design_scores_gemma":[0.00004554203,0.00006850113,0.001244145,0.001378349,0.00002400441,0.0007028852,0.007424369,0.00009477057,0.000192812,0.02034185,0.9684414,0.00004133722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001355906,0.007617204,0.0001672781,0.9661373,0.01163624,0.000008772697,0.00007034276,0.00002853092,0.01297836],"genre_scores_gemma":[0.03540349,0.0215234,0.0004647913,0.8958302,0.02047903,0.00004172533,0.0001512504,0.00008944811,0.02601656],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02109322,"threshold_uncertainty_score":0.07357949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477405009864174,"score_gpt":0.2900692115975523,"score_spread":0.2352951614989106,"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."}}