{"id":"W2893700350","doi":"10.1126/science.aat1953","title":"Predicting global killer whale population collapse from PCB pollution","year":2018,"lang":"en","type":"article","venue":"Science","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":369,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Conservation Association; Carleton University; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK; Miljøstyrelsen; Aarhus Universitet","keywords":"Whale; Pollution; Population; Fishery; Environmental science; Environmental pollution; Oceanography; Biology; Geography; Ecology; Environmental protection; Geology; Environmental health","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":["insufficient_payload"],"category_scores_codex":[0.0004604246,0.000108526,0.00008404937,0.00002758855,0.0005102689,0.0000952396,0.0004734613,0.00004964811,0.002987264],"category_scores_gemma":[0.0003547498,0.00009747145,0.00002178573,0.00123244,0.0009801815,0.000964133,0.0002685438,0.00005616844,0.001541114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956222,"about_ca_system_score_gemma":0.00005655456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552555,"about_ca_topic_score_gemma":0.001107027,"domain_scores_codex":[0.9981602,0.00002936632,0.0001699242,0.0004568878,0.0007304836,0.0004531217],"domain_scores_gemma":[0.9993362,0.00001292297,0.00009106322,0.0003471738,0.000004579827,0.0002080948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002058855,0.00004855283,0.7263555,4.813011e-7,0.000003738086,0.000003149441,0.0007333845,0.00006386991,0.1708624,0.00005537129,0.0008351467,0.1010179],"study_design_scores_gemma":[0.0001481637,0.00005654468,0.987605,0.000008363532,0.00000468144,0.000008286708,0.00007479339,0.00321185,0.007006311,0.001079503,0.0006754704,0.0001209972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870784,0.00001390998,0.000374604,0.0003534979,0.00105091,0.0001209061,0.0000670153,0.0001001731,0.01084062],"genre_scores_gemma":[0.9976099,0.000001452452,0.001596916,0.0003051328,0.0001877244,9.943755e-7,8.567341e-7,0.000005995155,0.0002910652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2612496,"threshold_uncertainty_score":0.9992363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009304308008877573,"score_gpt":0.2536560766134318,"score_spread":0.2443517686045542,"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."}}