{"id":"W6973606847","doi":"10.57912/23834523","title":"The Sheep Ranching Industry of Canada","year":2023,"lang":"en","type":"dissertation","venue":"American University Research Archive","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Agriculture; Productivity; Work (physics); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0003004281,0.0003278983,0.0002529499,0.00294482,0.003079484,0.002387708,0.0007957947,0.0004444774,0.09829359],"category_scores_gemma":[0.000561023,0.0001851336,0.000324836,0.005822593,0.0004740249,0.000459563,0.0004921221,0.0006238558,0.01688298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01372708,"about_ca_system_score_gemma":0.04402442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675475,"about_ca_topic_score_gemma":0.9902791,"domain_scores_codex":[0.9993517,0.00001336242,0.00001238495,0.0000552306,0.000353504,0.000213908],"domain_scores_gemma":[0.9986481,0.00003175947,0.00002507443,0.00003494003,0.001015543,0.0002444538],"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":[0.00008752095,0.00003593254,0.01002112,0.0004425529,0.000007610768,0.0003167691,0.001223651,0.0002966417,0.001731664,0.009313955,0.8152711,0.1612514],"study_design_scores_gemma":[0.000003478145,0.00000916004,0.02987603,0.0000602916,0.000003057602,0.00005854863,0.0009670277,0.00005505272,0.000203384,0.0001105756,0.9686459,0.000007388486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03021157,0.008251459,0.001223407,0.006213255,0.002508647,0.0006104456,0.05452155,0.000806956,0.8956526],"genre_scores_gemma":[0.02682677,0.003142574,0.0006351054,0.0003946235,0.0000726473,0.00004090852,0.007607537,0.00007565255,0.9612042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09829359,"threshold_uncertainty_score":0.3288248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697790838064202,"score_gpt":0.2474836194838069,"score_spread":0.2305057111031649,"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."}}