{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003971321,0.0001497504,0.0001721799,0.0004617555,0.0001994568,0.0005404858,0.0001699176,0.0002099403,0.0011267],"category_scores_gemma":[0.001600391,0.0001369824,0.0002236811,0.0003595578,0.00027029,0.0002219274,0.0002717449,0.0001740725,0.0001286348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390264,"about_ca_system_score_gemma":0.0001271591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535982,"about_ca_topic_score_gemma":0.01062232,"domain_scores_codex":[0.9997995,0.0000783496,0.00001755404,0.00003907959,0.00002870875,0.00003679937],"domain_scores_gemma":[0.9979721,0.001183352,0.0004125353,0.00007478899,0.0001144272,0.0002427505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008036564,0.0000607083,0.9962807,0.000006145071,0.0000496607,0.00008851584,0.00004424785,0.000554963,0.001331002,0.00001357371,0.00003100665,0.001459002],"study_design_scores_gemma":[0.000001725527,0.00009096135,0.9983532,0.000002406135,0.000009729823,0.00007849506,0.0001061133,0.001178304,0.0001225111,0.00001695882,0.00003763749,0.000001873768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997768,0.00001987045,0.0000613036,0.000003012434,5.144024e-7,0.00000141723,0.00003716107,0.000001721487,0.00009830092],"genre_scores_gemma":[0.9997819,0.00001186102,0.00008500304,0.000002187027,9.421773e-7,0.000001463592,0.00005025799,0.00000103477,0.00006528637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003535982,"threshold_uncertainty_score":0.007030785,"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."}}