{"id":"W4247531752","doi":"10.4095/301211","title":"Beef Cattle by Census Division, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Demography; Mathematics; Sociology; Arithmetic; Population","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":[0.0005534113,0.0007758618,0.0003150213,0.004050458,0.0006886294,0.0009395297,0.001077436,0.0002462744,0.0373166],"category_scores_gemma":[0.00196203,0.0003322807,0.0002154534,0.007442505,0.0001618858,0.0006375186,0.0004681446,0.0006197128,0.02378168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003881548,"about_ca_system_score_gemma":0.003661577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5489331,"about_ca_topic_score_gemma":0.6344989,"domain_scores_codex":[0.999087,0.00005056302,0.00008894455,0.0001545981,0.00048655,0.0001324063],"domain_scores_gemma":[0.9985126,0.00006289208,0.000174831,0.00006218106,0.001065186,0.0001223116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001491946,0.00003538491,0.02061968,0.0003886526,0.00002765347,0.00004763259,0.0001237423,0.000192748,0.0003510943,0.0009949692,0.9374698,0.03959951],"study_design_scores_gemma":[0.00005325623,0.00003493075,0.1982727,0.0001492802,0.00001643111,0.00009880812,0.0002234821,0.0002608185,0.0002958402,0.000139455,0.8004405,0.0000143858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004195719,0.0007506823,0.0002216545,0.0002246252,0.000184484,0.0001293723,0.9679365,0.0001420043,0.02621507],"genre_scores_gemma":[0.01334921,0.002121782,0.001063634,0.0002009966,0.00008220712,0.0002580758,0.9164189,0.00004419559,0.06646098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5489331,"threshold_uncertainty_score":0.9074467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145936596138568,"score_gpt":0.2713390800460315,"score_spread":0.2567454204321747,"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."}}