{"id":"W4239851738","doi":"10.1139/f01-110","title":"Surplus production, variability, and climate change in the great sardine and anchovy fisheries","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sardine; Anchovy; Fishery; Biomass (ecology); Stock (firearms); Catch per unit effort; Environmental science; Fish stock; Fish <Actinopterygii>; Ecology; Geography; Biology","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":[0.0007030566,0.0001529548,0.0001433931,0.0009089898,0.0001766139,0.0003880804,0.000101542,0.0001749019,0.0003773815],"category_scores_gemma":[0.001368651,0.0001529766,0.0002726127,0.0007442095,0.0003119959,0.0003834105,0.0003380057,0.0001331054,0.00008269336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003732138,"about_ca_system_score_gemma":0.0001739222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063964,"about_ca_topic_score_gemma":0.01653175,"domain_scores_codex":[0.999864,0.00003324392,0.00001967722,0.00003846222,0.00002368877,0.00002085669],"domain_scores_gemma":[0.9992448,0.0002004816,0.000320296,0.00006228972,0.00008295896,0.00008918379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003835291,0.000006802723,0.9971527,0.000003979521,0.00003798823,0.00004686426,0.00007127496,0.0006980812,0.0007224754,0.00002723486,0.00003494867,0.001159308],"study_design_scores_gemma":[9.540049e-7,0.000009937053,0.999294,6.237797e-7,0.000004640799,0.00002609791,0.00003205035,0.0005294198,0.00003960054,0.00001900625,0.00004213719,0.000001455312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996696,0.00002532021,0.00003913212,0.00001009608,8.195114e-7,5.927105e-7,0.000112206,0.000002334134,0.0001398611],"genre_scores_gemma":[0.999617,0.00001915537,0.0000452251,0.000003975994,0.00000262725,0.000001368138,0.0002684928,0.000001280241,0.00004082261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063964,"threshold_uncertainty_score":0.02115542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705291827290925,"score_gpt":0.2503859457401303,"score_spread":0.2133330274672211,"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."}}