{"id":"W625530531","doi":"10.1007/978-1-4020-9210-7","title":"The Future of Fisheries Science in North America","year":2009,"lang":"en","type":"book","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":180,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fisheries science; Fisheries management; Fishery; Stock (firearms); Geography; Stock assessment; Ecosystem approach; Ecosystem; Environmental resource management; Climate science; Climate change; Environmental planning; Business; Oceanography; Environmental science; Ecology; Fishing; Geology; Biology; Archaeology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0004662884,0.0006795016,0.0005015953,0.001175605,0.001003929,0.002303639,0.0005607869,0.001051264,0.02524014],"category_scores_gemma":[0.0007645328,0.0002580878,0.0002347174,0.00246668,0.0008523047,0.003224047,0.0008127139,0.002356823,0.006757038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396537,"about_ca_system_score_gemma":0.004668613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368347,"about_ca_topic_score_gemma":0.08811565,"domain_scores_codex":[0.9998206,0.00002345862,0.000009135678,0.00002209583,0.0001093832,0.0000151844],"domain_scores_gemma":[0.9995831,0.0001190937,0.00001770808,0.00001737679,0.0001995376,0.00006310654],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000579118,0.000009639966,0.0001078084,0.0001240489,0.000003238217,0.00003135678,0.0001260121,0.0001458036,0.0001431276,0.03255365,0.8221918,0.1445578],"study_design_scores_gemma":[8.381413e-7,0.000001711391,0.0002231093,0.00009023926,0.000001589506,0.00002969889,0.00004696568,0.00005387164,0.00001241768,0.007917622,0.9916198,0.00000213915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0006358387,0.4004731,0.002943354,0.03740938,0.02172087,0.00002689717,0.000346486,0.0002212392,0.5362228],"genre_scores_gemma":[0.004912039,0.2281252,0.007875165,0.007075948,0.005945418,0.000062675,0.0004221236,0.0001179358,0.7454635],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9995337,"threshold_uncertainty_score":0.0844366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007419029452365252,"score_gpt":0.2189294307509655,"score_spread":0.2115104012986003,"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."}}