{"id":"W4304890913","doi":"10.1002/wlb3.01056","title":"Regulations and hunter preference affect mountain goat harvest and horn length","year":2022,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Wildlife; Hunting season; Ovis canadensis; French horn; Population; Geography; Biology; Wildlife management; Demography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000423172,0.00007955002,0.00009966594,0.0002771415,0.0002212151,0.0003853086,0.0001508012,0.0001594193,0.001296032],"category_scores_gemma":[0.001382182,0.000100821,0.0001230196,0.0002652015,0.0003222454,0.0001232683,0.000168516,0.0001634468,0.0001148137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770085,"about_ca_system_score_gemma":0.000475037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048351,"about_ca_topic_score_gemma":0.4127574,"domain_scores_codex":[0.9998506,0.00004286971,0.000007313391,0.00003079602,0.00002748307,0.00004082515],"domain_scores_gemma":[0.9987217,0.0004384232,0.0004499876,0.00007827744,0.0001203202,0.0001912372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005086532,0.00001290398,0.9974869,0.00000288972,0.00001940637,0.00003774921,0.0001831268,0.00009148129,0.0007614705,0.00001381949,0.00005040969,0.001288882],"study_design_scores_gemma":[2.594123e-7,0.000006921056,0.9997914,6.548361e-7,0.000002103876,0.00001064103,0.00007893198,0.00005665815,0.00001597117,0.000003323661,0.00003253365,5.906655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996969,0.00002299576,0.0000293334,0.00000596922,2.939002e-7,8.304303e-7,0.00002945447,9.724606e-7,0.0002134904],"genre_scores_gemma":[0.9995029,0.00002235225,0.00006287963,0.00000607305,8.118153e-7,0.000001774546,0.00007807136,0.000001176266,0.0003240279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048351,"threshold_uncertainty_score":0.2084498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187724310219058,"score_gpt":0.2287555743173477,"score_spread":0.2099831432954419,"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."}}