{"id":"W2168049664","doi":"10.1111/j.1467-2979.2006.00205.x","title":"Fishing down the deep","year":2006,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":479,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overfishing; Fishery; Fishing; Demersal zone; Fish stock; Deep water; Habitat; Resilience (materials science); Fish <Actinopterygii>; Demersal fish; Environmental science; Geography; Oceanography; Ecology; Biology; Geology","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":[0.0002932202,0.0003917625,0.0002427855,0.0005368185,0.0007254003,0.001015431,0.0003410921,0.0002316796,0.0345183],"category_scores_gemma":[0.0007843315,0.0001601402,0.0003702616,0.0005934954,0.0003427622,0.0007425412,0.001694678,0.0005628336,0.005056987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551668,"about_ca_system_score_gemma":0.0004906401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184708,"about_ca_topic_score_gemma":0.02614022,"domain_scores_codex":[0.9997264,0.00002317115,0.0000167028,0.00007135392,0.00005968778,0.0001026623],"domain_scores_gemma":[0.9992709,0.00008487463,0.0002192492,0.00009805955,0.0001646938,0.0001621919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005172144,0.00008931171,0.7008166,0.0004070992,0.0002286351,0.0008589365,0.001919122,0.001526999,0.0281753,0.009266464,0.0119002,0.2442941],"study_design_scores_gemma":[0.00002524933,0.0004153107,0.9092584,0.000351769,0.0001640936,0.0007906028,0.004216212,0.002178231,0.004236062,0.005766464,0.07253634,0.00006113327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8905468,0.0008728885,0.003293282,0.0008059022,0.0001462663,0.00002922242,0.002176502,0.00008721483,0.102042],"genre_scores_gemma":[0.9535351,0.0004594483,0.0009254921,0.0005476972,0.00003133684,0.00001271463,0.0008694716,0.00002102079,0.04359768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0345183,"threshold_uncertainty_score":0.1154752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008307953135431425,"score_gpt":0.1968333967032445,"score_spread":0.188525443567813,"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."}}