{"id":"W4205245637","doi":"10.1016/j.animal.2021.100428","title":"Development of a novel stall design for dairy cattle: Part II. The effect of minimal stall partitioning on lying behavior, rumination, stall cleanliness, and preference","year":2022,"lang":"en","type":"article","venue":"animal","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Centres of Excellence","keywords":"Rumination; Stall (fluid mechanics); Lying; Animal science; Preference test; Mathematics; Biology; Physics; Medicine; Statistics; Preference; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004273873,0.0004077262,0.0003657662,0.0003421512,0.0001653061,0.000270974,0.000782533,0.0002792554,0.001815755],"category_scores_gemma":[0.0003773452,0.000262988,0.0003456469,0.0001391748,0.0001532985,0.0002705686,0.0003846397,0.000244381,0.0002380305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469017,"about_ca_system_score_gemma":0.0002319859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009098514,"about_ca_topic_score_gemma":0.001846352,"domain_scores_codex":[0.9998195,0.00004089604,0.00001693077,0.00005276788,0.0000376348,0.00003234902],"domain_scores_gemma":[0.9997885,0.00003515127,0.00006034865,0.00003036408,0.00003171597,0.00005398403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003868157,0.001963931,0.006839855,0.0007704438,0.0001290508,0.00008359208,0.00009275577,0.002573843,0.863488,0.0003748142,0.0003558765,0.1194597],"study_design_scores_gemma":[0.003440605,0.171317,0.2622492,0.0002364693,0.001579406,0.001291382,0.0002311281,0.02711566,0.4863495,0.0007171473,0.0452056,0.0002668341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512193,0.0009755366,0.04532234,0.00007865709,0.00007794397,0.0007225691,0.0006113833,0.0002970886,0.0006952677],"genre_scores_gemma":[0.8741233,0.0009516951,0.1196471,0.0001110126,0.00006752954,0.0012624,0.001351719,0.00007720115,0.002408149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001815755,"threshold_uncertainty_score":0.006074369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1566175906270907,"score_gpt":0.3425986484055218,"score_spread":0.1859810577784311,"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."}}