{"id":"W4402340130","doi":"10.1080/14927713.2024.2399590","title":"Are hunter numbers really declining? An analysis of big game hunting license sales in Montana","year":2024,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"License; Big game; Business; Advertising; Marketing; Geography; Computer science; Environmental protection","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":[0.0003653432,0.0001164099,0.0001147425,0.00149114,0.0004713702,0.0008266447,0.0003435672,0.000341317,0.001098205],"category_scores_gemma":[0.001125611,0.0001122259,0.0002055926,0.002178816,0.0002863065,0.0004569002,0.0003956825,0.0003909598,0.0002198376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008469534,"about_ca_system_score_gemma":0.0007011574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018855,"about_ca_topic_score_gemma":0.2756671,"domain_scores_codex":[0.999791,0.00004692006,0.00001740055,0.00003456009,0.00005633469,0.00005375894],"domain_scores_gemma":[0.9989625,0.0002390208,0.0004253839,0.00002357217,0.000194788,0.000154653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004711403,0.00004774925,0.9925517,0.00001425326,0.00002148079,0.0001689231,0.0007738352,0.00006194198,0.0001433495,0.00004169493,0.0009283596,0.005199678],"study_design_scores_gemma":[9.160247e-7,0.00002331,0.9971732,0.000005976234,0.00000545331,0.00006220186,0.001864122,0.0001576193,0.00003184926,0.00001326237,0.0006598779,0.000002106468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976538,0.0001431737,0.00004003951,0.0002463548,0.000003560877,0.000007050899,0.000701101,0.000005341937,0.001199675],"genre_scores_gemma":[0.9953728,0.0003190668,0.0001519048,0.0001781098,0.00001855791,0.00002487808,0.002311065,0.000005681859,0.001617851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018855,"threshold_uncertainty_score":0.2025849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099861114537162,"score_gpt":0.2826930960365783,"score_spread":0.2616944848912067,"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."}}