{"id":"W4412437329","doi":"10.1139/cjfas-2025-0065","title":"Advancing spatially explicit fisheries management with age-specific species distribution models","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fisheries management; Fishery; Distribution (mathematics); Geography; Fishing; Ecology; Environmental science; Biology; Mathematics","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":[0.001579411,0.0005537487,0.0006722519,0.0007862992,0.0003134102,0.0008670362,0.001497573,0.00097737,0.001221726],"category_scores_gemma":[0.005148855,0.0006388001,0.000765348,0.0006541823,0.0004051929,0.001900184,0.00121475,0.0008225373,0.0001984837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149935,"about_ca_system_score_gemma":0.001403003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04675367,"about_ca_topic_score_gemma":0.06537344,"domain_scores_codex":[0.9996753,0.0001609715,0.00002039826,0.00007123999,0.00004062532,0.0000315],"domain_scores_gemma":[0.9976719,0.001340847,0.0004140755,0.0001874671,0.0002625936,0.0001230719],"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":[0.000005857324,0.00001440614,0.004103797,0.00001056538,0.00003030499,0.0000156248,0.00002296068,0.987294,0.0001285789,0.001945779,0.0001647004,0.006263335],"study_design_scores_gemma":[0.000002648334,0.000004478046,0.0004025256,0.000005022387,0.000005178317,0.000003247683,0.00000984028,0.9968309,0.00003223502,0.002505271,0.0001948527,0.000003745314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2532831,0.0006583645,0.7385879,0.001415779,0.00007635068,0.00005117834,0.001224027,0.0006883508,0.004015033],"genre_scores_gemma":[0.8990398,0.0003569139,0.09880571,0.0001930442,0.00004755867,0.00006451783,0.0003789985,0.00004616777,0.00106719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04675367,"threshold_uncertainty_score":0.0929631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940199421134961,"score_gpt":0.2152682608081835,"score_spread":0.1958662665968338,"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."}}