{"id":"W3137757793","doi":"10.1021/acs.est.0c08563","title":"Individual Prey Specialization Drives PCBs in Icelandic Killer Whales","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada; McGill University","funders":"Environment and Climate Change Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Icelandic; Predation; Fishery; Biology; Zoology; Ecology; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009187747,0.000148722,0.0001379999,0.0003302308,0.0002024174,0.0002893581,0.00009465902,0.000162869,0.001086483],"category_scores_gemma":[0.0002182194,0.0001053525,0.00009624089,0.0001779932,0.0002207433,0.0001346683,0.0002764703,0.0001683098,0.0001775211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950711,"about_ca_system_score_gemma":0.00009825556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009645042,"about_ca_topic_score_gemma":0.02687621,"domain_scores_codex":[0.9999479,0.000007616554,0.000002516283,0.00001801811,0.000009445972,0.00001455506],"domain_scores_gemma":[0.999863,0.00001471868,0.00006299661,0.00001026655,0.00002299432,0.00002595024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001185896,0.00003034808,0.9707757,0.00001582547,0.00004367002,0.0001015629,0.0003761446,0.00006513719,0.02360519,0.00002694415,0.000132601,0.004708227],"study_design_scores_gemma":[2.012749e-7,0.00001377164,0.9995537,0.00000112242,0.000002610919,0.00003116297,0.0001637256,0.00001927406,0.0001639731,0.000005962027,0.00004380006,6.108767e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995381,0.00006717354,0.00003488159,0.00001131492,0.000001256388,0.000001371285,0.00005743455,0.000001301726,0.0002871887],"genre_scores_gemma":[0.9993442,0.00008858342,0.00005883273,0.00002568881,0.00000212942,0.000002504583,0.0001219082,0.00000164352,0.0003545109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009645042,"threshold_uncertainty_score":0.01917779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013270642514186,"score_gpt":0.2240003151803087,"score_spread":0.2138676087551669,"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."}}