{"id":"W2761097600","doi":"10.1073/pnas.1703165114","title":"Marine mammal population decline linked to obscured by-catch","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Pennington Biomedical Research Foundation","keywords":"Endangered species; Marine mammal; Fishery; Population decline; Bycatch; Population; Mammal; Fishing; Geography; Megafauna; Biology; Ecology; Demography; Habitat","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":[0.0009522975,0.0001877783,0.0001841154,0.002701111,0.0003376561,0.0008535034,0.0003053169,0.0003963224,0.003259568],"category_scores_gemma":[0.002111068,0.00009680603,0.0001506415,0.002084231,0.0005000805,0.0007963967,0.0009508759,0.0006636006,0.0005478739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005452657,"about_ca_system_score_gemma":0.0005177265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101406,"about_ca_topic_score_gemma":0.01698556,"domain_scores_codex":[0.9996159,0.00008031134,0.00003846254,0.0001003431,0.00009615502,0.00006879995],"domain_scores_gemma":[0.9968202,0.0003923779,0.001380878,0.0001144574,0.0009182213,0.0003738341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001174569,0.00007201712,0.8893548,0.0003946002,0.0001259816,0.000233612,0.0005385062,0.000173206,0.0006352965,0.0006982072,0.00813181,0.09952459],"study_design_scores_gemma":[0.000001306799,0.00005230884,0.9910584,0.0001441431,0.00004169883,0.0002573948,0.0005152326,0.00007202316,0.0001169666,0.0002640328,0.007472244,0.000004315487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853408,0.04864372,0.0009902818,0.008072127,0.00041679,0.00006997085,0.005887502,0.0001140568,0.05046473],"genre_scores_gemma":[0.9534937,0.03460236,0.0004292624,0.001228559,0.000854691,0.00004750555,0.004451915,0.00002151578,0.004870505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101406,"threshold_uncertainty_score":0.02016312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471295441696707,"score_gpt":0.3151715119274607,"score_spread":0.26804196775779,"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."}}