{"id":"W7001942769","doi":"","title":"Livestock Policy in Special Areas, Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Livestock and Meat Agency","funders":"","keywords":"Livestock; Sustainability; Hectare; Rangeland; Agriculture; Production (economics); Payment; Corporate governance; Land use; Rural area","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005608244,0.0003086339,0.0001684136,0.0008792165,0.007887644,0.003572223,0.001017284,0.001371717,0.02413283],"category_scores_gemma":[0.001101539,0.000246768,0.0001769904,0.001599734,0.00114564,0.0006683532,0.0009795023,0.001129742,0.001158501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06922542,"about_ca_system_score_gemma":0.1737417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952566,"about_ca_topic_score_gemma":0.9983747,"domain_scores_codex":[0.9989842,0.00004390177,0.00001708754,0.00006490675,0.0003677302,0.0005222851],"domain_scores_gemma":[0.9981173,0.0001230905,0.00003757911,0.00002920697,0.0008214415,0.0008712722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001476419,0.0001796768,0.04177302,0.0004418912,0.00003516544,0.001768414,0.00292829,0.002359075,0.001855869,0.1072721,0.6942475,0.1469913],"study_design_scores_gemma":[0.00003200791,0.00004342145,0.07428814,0.0002865349,0.00001954842,0.0001607375,0.005795347,0.000960916,0.0003072158,0.002394374,0.9156678,0.00004393346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1047673,0.01739787,0.001074193,0.05446231,0.00134532,0.0002541901,0.006804367,0.0002914702,0.813603],"genre_scores_gemma":[0.295257,0.008696749,0.002030371,0.01121694,0.0001368726,0.00008305989,0.003397069,0.00005798847,0.679124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06922542,"threshold_uncertainty_score":0.5022679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004629761122134189,"score_gpt":0.1594266668913304,"score_spread":0.1547969057691962,"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."}}