{"id":"W4361251001","doi":"10.1139/cjfas-2022-0262","title":"Evaluation of management performance of a new state-space model for pink salmon (<i>Oncorhynchus gorbuscha</i>) stock–recruitment analysis","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oncorhynchus; Fishery; Stock (firearms); Fisheries management; Management strategy; Kalman filter; Computer science; Environmental science; Operations research; Business; Fishing; Fish <Actinopterygii>; Engineering; Biology; Artificial intelligence","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":[0.002201759,0.0005513345,0.0005598758,0.0003013952,0.0003148588,0.0006326438,0.0005267506,0.0005334736,0.0006522497],"category_scores_gemma":[0.002483968,0.000304283,0.0004842694,0.0001165627,0.0002379602,0.0005540926,0.0004602067,0.0005321149,0.0001029108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214301,"about_ca_system_score_gemma":0.001292548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04309366,"about_ca_topic_score_gemma":0.02038366,"domain_scores_codex":[0.9996672,0.0001198712,0.0000312657,0.00006045122,0.00007543277,0.00004581289],"domain_scores_gemma":[0.9986297,0.0007877004,0.0001533082,0.00005794006,0.0003124698,0.00005882229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001919737,0.000117012,0.005896253,0.00003351341,0.00006259767,0.00003595289,0.00003155017,0.983001,0.001984343,0.000282653,0.00009452182,0.008268599],"study_design_scores_gemma":[0.00001861433,0.0001317986,0.0009675323,0.000002038509,0.00001521334,0.000003065616,0.000005505729,0.9983429,0.0004181992,0.00003480541,0.0000549998,0.000005304158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372103,0.000118769,0.05951358,0.0001471093,0.00003564203,0.0001121972,0.0001542227,0.0003549935,0.002353265],"genre_scores_gemma":[0.9921169,0.00003465839,0.007228159,0.0000153448,0.000004076618,0.0000376049,0.0001006716,0.000008564925,0.00045412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04309366,"threshold_uncertainty_score":0.08568561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09567256347480878,"score_gpt":0.3049328173783292,"score_spread":0.2092602539035204,"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."}}