{"id":"W3153162807","doi":"10.3389/fmars.2021.602072","title":"Refining Fisheries Advice With Stock-Specific Ecosystem Information","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Operationalization; Fishing; Ecosystem; Fisheries management; Stock (firearms); Stock assessment; Environmental resource management; Marine ecosystem; Ecosystem model; Fishery; Environmental science; Ecosystem health; Ecosystem management; Ecosystem services; Ecology; Geography","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":[0.01968318,0.001186083,0.0009105335,0.004770452,0.0009004673,0.00439335,0.001921668,0.001748576,0.006407151],"category_scores_gemma":[0.09011602,0.0005479755,0.0006631684,0.002772033,0.0007397978,0.007567677,0.003548726,0.00249129,0.001712544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003399928,"about_ca_system_score_gemma":0.005322502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211994,"about_ca_topic_score_gemma":0.05270143,"domain_scores_codex":[0.9924207,0.002872616,0.0008188466,0.00077648,0.002747112,0.0003642644],"domain_scores_gemma":[0.9566743,0.01885002,0.004304258,0.003764997,0.01556535,0.0008410398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003631576,0.0003458305,0.0853327,0.000889153,0.0002913479,0.0002898221,0.003166788,0.1198149,0.002925644,0.05268732,0.02592519,0.7079682],"study_design_scores_gemma":[0.0001183245,0.0005228049,0.05488095,0.001933407,0.0003101417,0.0002155587,0.003778632,0.6768661,0.007432766,0.153183,0.1003984,0.0003599669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2243647,0.00101413,0.6545485,0.01493267,0.000403999,0.0009705872,0.004280435,0.003451164,0.0960338],"genre_scores_gemma":[0.555642,0.0007195998,0.433896,0.0008259104,0.00009658394,0.0002068936,0.00192495,0.000238901,0.006449181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02211994,"threshold_uncertainty_score":0.1040959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008365077071680625,"score_gpt":0.2050568272267047,"score_spread":0.1966917501550241,"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."}}