{"id":"W2158348650","doi":"10.1139/f2012-002","title":"Capacity management, not stock status or economics, drives fleet dynamics in the Bay of Biscay ecosystem on a decadal time scale","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Bay; Fishing; Stock (firearms); Environmental science; Fish stock; Fishery; Profitability index; Resource (disambiguation); Economics; Geography; Computer science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005780758,0.0002087395,0.0001930843,0.001139199,0.0003314815,0.0007988612,0.0002066154,0.0002536512,0.00107309],"category_scores_gemma":[0.001983724,0.0001648176,0.0002196572,0.000659257,0.0004078141,0.0008396143,0.0005517128,0.0002663631,0.0001276242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009867295,"about_ca_system_score_gemma":0.0003424955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06501903,"about_ca_topic_score_gemma":0.1249037,"domain_scores_codex":[0.9998962,0.00002256727,0.000007775357,0.00002968531,0.00001997343,0.00002373736],"domain_scores_gemma":[0.9989879,0.0001969878,0.0004820446,0.00004733324,0.0001226023,0.0001630427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004888522,0.00002945695,0.9875512,0.00001501405,0.0000724924,0.00006360488,0.0002684772,0.003453604,0.001929065,0.0003287197,0.0002494884,0.005990082],"study_design_scores_gemma":[6.760251e-7,0.00001086491,0.9951419,0.000002950839,0.000005806401,0.00001752251,0.0001563466,0.004358912,0.00004767185,0.0001340465,0.0001182979,0.000005104125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991189,0.00005596152,0.0001929164,0.00004596925,0.000002006329,0.000002449486,0.0001199798,0.000005611808,0.0004562503],"genre_scores_gemma":[0.9994324,0.00005136273,0.0001667431,0.00001070646,0.000002485982,0.000002913893,0.0001393236,0.000002492988,0.0001915873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06501903,"threshold_uncertainty_score":0.1292812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427058126781346,"score_gpt":0.2264312273389142,"score_spread":0.2021606460711007,"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."}}