{"id":"W2271552226","doi":"10.1242/jeb.112656","title":"The fittest fish escape trawling","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Trawling; Predation; Fishery; Fish <Actinopterygii>; Population; Biology; Vulnerability (computing); Ecology; Demography; Computer science","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":[0.00069493,0.0004922532,0.0005098605,0.0005753661,0.001109161,0.001259426,0.0004771311,0.0006497075,0.01194514],"category_scores_gemma":[0.003056397,0.0002751917,0.0004373234,0.000240863,0.0006494524,0.001114032,0.001357463,0.0008059961,0.003648397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005935053,"about_ca_system_score_gemma":0.0004368809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005487429,"about_ca_topic_score_gemma":0.01999119,"domain_scores_codex":[0.9995105,0.00005119289,0.00003006675,0.0001316387,0.0001558148,0.0001208172],"domain_scores_gemma":[0.9988282,0.00009932929,0.0002621902,0.00009507933,0.0003276118,0.0003876261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008152893,0.000305584,0.6732742,0.0003589497,0.0003086673,0.001488811,0.003216474,0.0005468475,0.02734767,0.001756017,0.0326969,0.2578847],"study_design_scores_gemma":[0.00004959645,0.001428277,0.8805803,0.0004631063,0.0002653169,0.004558069,0.0133184,0.002141265,0.01059618,0.004123105,0.08225901,0.0002173012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660913,0.0009937565,0.003044033,0.003789193,0.0004911046,0.00006984209,0.0006796655,0.0003125333,0.02452848],"genre_scores_gemma":[0.9577716,0.0005153775,0.004065615,0.003674109,0.00007281228,0.00006379458,0.0004991656,0.0001658647,0.03317172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194514,"threshold_uncertainty_score":0.03996056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277298767506392,"score_gpt":0.2735550693965633,"score_spread":0.2507820817214994,"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."}}