{"id":"W3037260206","doi":"10.1002/jwmg.21918","title":"Integrated Population Modeling for White‐Tailed Deer in Saskatchewan, Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Ministry of Agriculture; Ministry of Environment","funders":"","keywords":"Odocoileus; Abundance (ecology); Population; Transect; Geography; Ecoregion; Relative species abundance; Missing data; Statistics; Abundance estimation; Bayesian probability; Ecology; Physical geography; Demography; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001620212,0.0009026909,0.000856726,0.001684225,0.001549532,0.001871952,0.002745261,0.001129971,0.004184435],"category_scores_gemma":[0.002835736,0.0007255888,0.001102997,0.00222251,0.001050531,0.0007565576,0.001232318,0.001224346,0.0004045982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02484873,"about_ca_system_score_gemma":0.02648671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805431,"about_ca_topic_score_gemma":0.9776099,"domain_scores_codex":[0.9993111,0.0001574414,0.0000303832,0.0001918835,0.0001149388,0.0001941976],"domain_scores_gemma":[0.9985348,0.0004065969,0.0001246112,0.00005250899,0.0007700423,0.0001114185],"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":[0.00004700656,0.00006593157,0.03258538,0.00002351331,0.0001221612,0.0001296178,0.0001559729,0.9520124,0.0003451933,0.007029647,0.001541392,0.005941747],"study_design_scores_gemma":[0.00001685373,0.00001044812,0.006289782,0.00001171026,0.00002818948,0.00001127088,0.0001122833,0.9908713,0.00005427393,0.001390731,0.001184555,0.00001866873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511332,0.0008635209,0.1192745,0.001326191,0.0001184457,0.0004836541,0.01035774,0.0005284728,0.01591423],"genre_scores_gemma":[0.9479427,0.0005258065,0.02584537,0.000218505,0.00002199838,0.0003684462,0.004298766,0.00007759759,0.02070062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02484873,"threshold_uncertainty_score":0.180291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481739086756091,"score_gpt":0.2073339943241475,"score_spread":0.1925166034565866,"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."}}