{"id":"W273192215","doi":"","title":"DOES FIRST NATION’S HUNTING IMPACT MOOSE PRODUCTIVITY IN ALBERTA?","year":2006,"lang":"en","type":"article","venue":"Alces","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Productivity; Geography; Ecology; Fishery; Agroforestry; Biology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006002205,0.0002027262,0.0002481593,0.0008307746,0.001359067,0.001455074,0.0009063273,0.0006445872,0.002732161],"category_scores_gemma":[0.001418355,0.000149574,0.000316653,0.001016581,0.0007016486,0.0004972974,0.0006272622,0.0004389317,0.0002613974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008372591,"about_ca_system_score_gemma":0.006458549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9412224,"about_ca_topic_score_gemma":0.9839538,"domain_scores_codex":[0.9996721,0.0000412916,0.000008343348,0.00003998758,0.00006170428,0.0001765464],"domain_scores_gemma":[0.9986895,0.0002230998,0.0002440298,0.00004359565,0.0003551686,0.000444676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003562143,0.0001048094,0.9823616,0.00002462158,0.0001173909,0.0004157038,0.0009105582,0.0007601841,0.0006607063,0.0005383941,0.001441825,0.012308],"study_design_scores_gemma":[0.00000351045,0.0000182158,0.9968393,0.00001058598,0.00001964325,0.00003524648,0.001792376,0.0003053241,0.00007163302,0.000106989,0.0007930414,0.00000405615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960516,0.0003809782,0.00003379795,0.0004502764,0.000008647455,0.000002351701,0.0002411867,0.000004466666,0.002826649],"genre_scores_gemma":[0.9968193,0.0002699573,0.00006126038,0.00008603449,0.000005608233,0.000001675858,0.0002401847,0.000003020865,0.002513016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05877757,"threshold_uncertainty_score":0.1182474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455086868535234,"score_gpt":0.2310712377089314,"score_spread":0.216520369023579,"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."}}