{"id":"W3013485904","doi":"","title":"Update on demographics of the Canadian Dairy Industry for the period 2011 to 2016.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Demographics; Herd; Consolidation (business); Dairy industry; Geography; Animal science; Agricultural science; Demography; Political science; Business; Biology; Sociology","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":[0.001324285,0.001326317,0.0008018513,0.01227253,0.001608009,0.001811781,0.001659139,0.0007981654,0.01992975],"category_scores_gemma":[0.006858959,0.0004609149,0.001277786,0.02077847,0.0003619867,0.001494324,0.001314821,0.001410975,0.005467867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02160885,"about_ca_system_score_gemma":0.0447576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793098,"about_ca_topic_score_gemma":0.9884093,"domain_scores_codex":[0.9980146,0.00004849732,0.0002500332,0.0001560603,0.001151897,0.0003788413],"domain_scores_gemma":[0.9861391,0.0002390072,0.001127343,0.0001122121,0.01125994,0.001122324],"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":[0.00009208841,0.00003012616,0.04467694,0.002160128,0.00007192421,0.0001053144,0.0002297695,0.0002515672,0.0001101752,0.0003874828,0.8951209,0.05676361],"study_design_scores_gemma":[0.00002968684,0.00002224042,0.4099931,0.00219715,0.00008884382,0.000283425,0.0006978262,0.0001574703,0.00009623537,0.0001371315,0.5862321,0.00006475205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01036404,0.03343317,0.000323503,0.004620699,0.001338561,0.0003136117,0.9266803,0.0003950695,0.02253118],"genre_scores_gemma":[0.06844489,0.0675558,0.003156946,0.005209612,0.0008720494,0.0007005704,0.8145308,0.0001812422,0.03934801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02160885,"threshold_uncertainty_score":0.1567839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06410404642501094,"score_gpt":0.2175097341757501,"score_spread":0.1534056877507392,"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."}}