{"id":"W4249406729","doi":"10.1002/9781118445112.stat07698","title":"Fish Population Estimation","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fish <Actinopterygii>; Abundance estimation; Strengths and weaknesses; Estimation; Fishery; Geography; Population; Abundance (ecology); Statistics; Population dynamics of fisheries; Computer science; Mathematics; Biology; Economics; Sociology; Psychology; Demography; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000136623,0.0003663444,0.0004090136,0.0001193107,0.000143211,0.00002963379,0.000287201,0.0002643001,0.02249899],"category_scores_gemma":[0.0001706067,0.000353572,0.00002768118,0.0001480473,0.0002105262,0.00007031045,0.0002795855,0.0002736585,0.001977056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458792,"about_ca_system_score_gemma":0.000008982017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170382,"about_ca_topic_score_gemma":0.0416055,"domain_scores_codex":[0.9982428,0.00008606995,0.0003632995,0.000550429,0.0003838754,0.0003735202],"domain_scores_gemma":[0.9989871,0.00009077144,0.0004127611,0.0004051638,0.00001349231,0.00009068503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007894831,0.00009824001,0.004885878,0.00007358116,0.00004377761,0.000007144557,0.00002122628,0.0004394109,4.687865e-7,0.00189981,0.9805305,0.01199209],"study_design_scores_gemma":[0.0003971781,0.0001407278,0.08465411,0.0001455706,0.0001332227,0.000001518945,0.00001705117,0.006792574,4.13222e-7,0.008601164,0.8985349,0.0005815895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002473254,0.00005560163,0.2917065,0.0006316772,0.001016147,0.001136001,0.01157145,0.0006805248,0.6929548],"genre_scores_gemma":[0.002231732,0.001475236,0.2662879,0.001909684,0.0002286044,0.00007936826,0.02300176,0.0004204985,0.7043652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0819956,"threshold_uncertainty_score":0.9998916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650323612608562,"score_gpt":0.2706047270794738,"score_spread":0.2541014909533881,"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."}}