{"id":"W3009080917","doi":"10.1139/cjfas-2019-0326","title":"Estimating population abundance with a mixture of physical capture and PIT tag antenna detection data","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of Reclamation; U.S. Geological Survey; Utah State University","keywords":"Covariate; Statistics; Population; Mathematics; Mark and recapture; Abundance (ecology); Mixed model; Ecology; Biology; Demography","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":[0.008501828,0.000920996,0.001106523,0.001350494,0.0004524325,0.001059624,0.00137424,0.0007511034,0.001033473],"category_scores_gemma":[0.02670523,0.001327544,0.001671069,0.001442488,0.0005754568,0.001844543,0.001492233,0.0009156556,0.0005157057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009636424,"about_ca_system_score_gemma":0.0009965227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009766853,"about_ca_topic_score_gemma":0.01504652,"domain_scores_codex":[0.9963138,0.00131108,0.0003011733,0.001105156,0.000859832,0.0001090996],"domain_scores_gemma":[0.9912889,0.004251174,0.001751309,0.001661096,0.0009300248,0.0001175395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009554598,0.0003736212,0.4844809,0.0005163465,0.002696272,0.0002816822,0.0005790757,0.2101264,0.0281329,0.005714141,0.001717469,0.2644258],"study_design_scores_gemma":[0.00006138205,0.0003870332,0.1061431,0.00005772594,0.0004030057,0.0003345626,0.00005956694,0.876519,0.007865048,0.005866123,0.002164541,0.0001388851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2048254,0.0001724357,0.7922144,0.0001203055,0.00003867673,0.0002055645,0.0006473922,0.000758355,0.001017358],"genre_scores_gemma":[0.5723053,0.0001573283,0.4241628,0.0001461598,0.00003051267,0.0004689401,0.001556953,0.00008731415,0.001084653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009766853,"threshold_uncertainty_score":0.04496253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730397930697992,"score_gpt":0.2110183874676715,"score_spread":0.1937144081606915,"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."}}