{"id":"W2061597213","doi":"10.1139/f04-131","title":"Biological reference points in the management of North American sea urchin fisheries","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Sea urchin; Fishing; Fisheries management; Fisheries science; Population; Environmental science; Geography; Ecology; 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":[0.01265311,0.0006037586,0.0005387084,0.003144761,0.001412928,0.003318432,0.002224907,0.001416525,0.001391907],"category_scores_gemma":[0.02593,0.0003680977,0.0002654162,0.002464314,0.002205495,0.00316989,0.002794806,0.001377499,0.0006205157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797956,"about_ca_system_score_gemma":0.00402149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939217,"about_ca_topic_score_gemma":0.05492771,"domain_scores_codex":[0.9933767,0.003504315,0.0005415426,0.0004543776,0.001901201,0.000221823],"domain_scores_gemma":[0.9917598,0.00180007,0.001696803,0.0005279973,0.003804743,0.0004105163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001957465,0.00009926662,0.03874058,0.0004144176,0.00005810837,0.0002878789,0.002686368,0.07326355,0.00105555,0.1036711,0.01339296,0.7661344],"study_design_scores_gemma":[0.0001499511,0.002229995,0.1456019,0.003742041,0.0002149335,0.0007500352,0.01274807,0.2801917,0.004690841,0.2804066,0.268641,0.0006329593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2602376,0.02828203,0.6139001,0.01827407,0.001305505,0.000705054,0.0006342822,0.001529351,0.07513202],"genre_scores_gemma":[0.7799388,0.005997256,0.2066226,0.0006581621,0.0001662481,0.0005077365,0.0003860879,0.0001178819,0.005605195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9706078,"threshold_uncertainty_score":0.06691688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800572452162423,"score_gpt":0.2474984907743616,"score_spread":0.2094927662527373,"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."}}