{"id":"W2003977551","doi":"10.1038/494303a","title":"Fisheries: Does catch reflect abundance?","year":2013,"lang":"en","type":"article","venue":"Nature","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Abundance (ecology); Fishery; Environmental science; Biology","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":[0.005962846,0.0006933876,0.001250165,0.001766545,0.000449358,0.003014802,0.001137242,0.001768847,0.005570683],"category_scores_gemma":[0.03450355,0.0004924761,0.000565849,0.004062996,0.003128911,0.007288377,0.001165051,0.001375992,0.001596827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470612,"about_ca_system_score_gemma":0.0005383398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007559322,"about_ca_topic_score_gemma":0.009467634,"domain_scores_codex":[0.9982766,0.0006749898,0.0002126878,0.0004529198,0.0002928819,0.00008994334],"domain_scores_gemma":[0.9857809,0.007299583,0.003143486,0.001093737,0.002083332,0.0005989606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003888819,0.0001387344,0.7932622,0.0007176193,0.001664243,0.0001985156,0.001149092,0.001785033,0.001344622,0.01596382,0.02194759,0.1614396],"study_design_scores_gemma":[0.00004285636,0.000286542,0.9147812,0.0006510614,0.000743783,0.001159383,0.003355149,0.01001309,0.0007079367,0.05180288,0.01628871,0.0001674806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756848,0.0603592,0.0333383,0.07121798,0.006418416,0.0000695877,0.004498858,0.0003357491,0.04807713],"genre_scores_gemma":[0.9800177,0.00698114,0.002858225,0.003633748,0.001729519,0.00002492705,0.0005065425,0.0001092217,0.004139029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007559322,"threshold_uncertainty_score":0.03153491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00704313176202181,"score_gpt":0.2515919107736537,"score_spread":0.2445487790116319,"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."}}