{"id":"W1982033468","doi":"10.1002/jwmg.377","title":"Influence of habitat features and hunter behavior on white‐tailed deer harvest","year":2012,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval; Center for Northern Studies; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Odocoileus; Geography; Habitat; Wildlife; Predation; Wildlife management; Hunting season; Big game; Ecology; Forage; Fishery; Biology; Environmental protection; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004609204,0.0001084469,0.000161223,0.00008285751,0.00006297166,0.00001613474,0.0001672339,0.00005318897,0.0001736474],"category_scores_gemma":[0.00003180097,0.00008674937,0.0000529066,0.0001037017,0.0001199667,0.0005173537,0.000124434,0.0001447584,0.00004734761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006301877,"about_ca_system_score_gemma":0.000003586838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005452569,"about_ca_topic_score_gemma":0.00002266084,"domain_scores_codex":[0.9990278,0.00005694875,0.0003226335,0.0001009026,0.0003014792,0.0001902529],"domain_scores_gemma":[0.9993973,0.00003904942,0.000303507,0.0001384654,0.00001762611,0.0001040722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005859932,0.0002045677,0.9713192,0.00001248731,0.00003418189,0.00001163064,0.000190864,0.0009389452,0.00008842837,0.0001615643,0.02593645,0.001043111],"study_design_scores_gemma":[0.000421947,0.0001784739,0.9935594,0.00004070279,0.00008938898,0.00003093083,0.0001054729,0.000003853947,0.00005501147,0.00004472426,0.005384532,0.0000855449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955564,0.00003867013,0.00003534985,0.001795277,0.000147305,0.0001540454,0.000001197345,0.000004701586,0.002267038],"genre_scores_gemma":[0.9941971,0.00004074129,0.001024025,0.003758902,0.00006072158,0.000008487545,6.43466e-7,0.00000748862,0.0009018363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02224025,"threshold_uncertainty_score":0.3537537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007946465556664633,"score_gpt":0.2250246014269434,"score_spread":0.2170781358702788,"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."}}