{"id":"W1550754221","doi":"10.1002/9780470057339.vnn141","title":"Fish Population Estimation","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fish <Actinopterygii>; Estimation; Fishery; Strengths and weaknesses; Abundance (ecology); Abundance estimation; Population; Population dynamics of fisheries; Geography; Statistics; Econometrics; Computer science; Mathematics; Biology; Economics; Sociology; Psychology; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.002724405,0.001028535,0.0005994333,0.005741157,0.0003738475,0.0009062923,0.001480621,0.0004077206,0.04173419],"category_scores_gemma":[0.00760044,0.0003137971,0.0008162705,0.003859205,0.00029514,0.001042843,0.0009734106,0.0005787359,0.01764638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599667,"about_ca_system_score_gemma":0.0006821586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041744,"about_ca_topic_score_gemma":0.0134648,"domain_scores_codex":[0.9984093,0.0002734659,0.000161302,0.0004708006,0.0006133725,0.00007170343],"domain_scores_gemma":[0.9974852,0.0005272985,0.0003373912,0.0002568773,0.001342664,0.00005063886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009481902,0.00004292528,0.05929841,0.0006272676,0.0001579494,0.00008719955,0.0001806538,0.009774501,0.001125581,0.0108078,0.08770587,0.830097],"study_design_scores_gemma":[0.00007767196,0.0003149851,0.2443707,0.001809856,0.0003979989,0.0008502027,0.0009301779,0.09076555,0.008417819,0.03283953,0.6190011,0.0002243769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04613055,0.007415585,0.6433428,0.001099248,0.001045282,0.00170654,0.06755365,0.003877245,0.2278292],"genre_scores_gemma":[0.2930619,0.008153087,0.3643793,0.000780817,0.0007263884,0.004095928,0.07591726,0.0009691677,0.2519161],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04173419,"threshold_uncertainty_score":0.1396148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006435735478555425,"score_gpt":0.2081904747661265,"score_spread":0.201754739287571,"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."}}