{"id":"W4252148204","doi":"10.4095/301172","title":"Dairy Cows by Census Division, 1996","year":2010,"lang":"en","type":"report","venue":"","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Animal science; Agricultural science; Biology; 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":[0.0004610548,0.0008680873,0.0003650542,0.00362937,0.0006780176,0.001053021,0.001094035,0.0003280944,0.03004502],"category_scores_gemma":[0.00191322,0.0003438242,0.0002672847,0.008220327,0.0001439824,0.0007494001,0.0006136757,0.0007469474,0.03531806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002885918,"about_ca_system_score_gemma":0.003284358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3071691,"about_ca_topic_score_gemma":0.3465357,"domain_scores_codex":[0.9991537,0.00003971175,0.0001068831,0.0001286591,0.0004701319,0.0001009791],"domain_scores_gemma":[0.9987634,0.00006142367,0.0001964324,0.00005018908,0.0008372365,0.00009129435],"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":[0.0000735596,0.00003133187,0.01609025,0.0003054782,0.00001851011,0.00002771207,0.0001007829,0.000137232,0.0001733282,0.0006765325,0.9596966,0.02266865],"study_design_scores_gemma":[0.00004334919,0.0000277869,0.1570405,0.0001750453,0.00001630024,0.00008087488,0.0002604734,0.0002167031,0.0001926025,0.000150419,0.8417827,0.00001316337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003159,0.0009468774,0.0001670089,0.0002409354,0.0001595735,0.0001194461,0.9661754,0.0001319472,0.02889982],"genre_scores_gemma":[0.01038029,0.003591586,0.0008059527,0.0002653048,0.00009464437,0.0003740962,0.932802,0.00004223033,0.05164389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3071691,"threshold_uncertainty_score":0.6107624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169354061492868,"score_gpt":0.2553695125561513,"score_spread":0.2236759719412226,"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."}}