{"id":"W4392291567","doi":"10.1111/faf.12820","title":"Testing models of increasing complexity to develop ecosystem‐informed fisheries advice","year":2024,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Ecosystem; Fisheries management; Population; Fishery; Environmental resource management; Stock (firearms); Ecosystem-based management; Stock assessment; Population model; Fish stock; Ecosystem management; Productivity; Ecology; Geography; Environmental science; Fishing; Biology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004258174,0.0002039347,0.0002872317,0.00006638293,0.000207146,0.0002645324,0.0002529436,0.00008695275,0.002164924],"category_scores_gemma":[0.0006685151,0.0001853416,0.00003436381,0.0009691317,0.0003019921,0.0009532878,0.0006825404,0.0001733003,0.0000337165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008764283,"about_ca_system_score_gemma":0.00008626733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002862094,"about_ca_topic_score_gemma":0.003043151,"domain_scores_codex":[0.9983855,0.00006401681,0.0003907524,0.0003733882,0.0003704323,0.000415909],"domain_scores_gemma":[0.999108,0.0003422652,0.00004899488,0.000231818,0.00006408474,0.0002048074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003394349,0.00007450526,0.6466423,0.001692742,0.00009393173,0.0000807501,0.008522093,0.00008940525,0.001198672,0.001124475,0.1086138,0.2315279],"study_design_scores_gemma":[0.0003250098,0.0003930889,0.1898517,0.0002254582,0.00002826768,0.0001489166,0.001503702,0.02390383,0.0005166262,0.003612894,0.7787266,0.0007639032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5710465,0.00001573397,0.0002839181,0.00112808,0.0001101719,0.0002633639,0.00009135786,0.0001682213,0.4268927],"genre_scores_gemma":[0.9790882,0.00003824497,0.01791906,0.0006043729,0.00007745045,0.00005727725,0.00003894489,0.00003673073,0.002139734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6701128,"threshold_uncertainty_score":0.9987472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727288851775905,"score_gpt":0.2604643536071045,"score_spread":0.2031914650893454,"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."}}