{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006823927,0.0002148598,0.000306024,0.00006448822,0.0008234367,0.00001607054,0.0001878594,0.00004343165,0.00006983526],"category_scores_gemma":[0.00007711288,0.0001728871,0.00007559345,0.0001222681,0.0001357212,0.0001026821,0.0003809182,0.0001519753,7.798484e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006496539,"about_ca_system_score_gemma":0.00007641886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002760018,"about_ca_topic_score_gemma":0.00001094194,"domain_scores_codex":[0.9984993,0.0001077684,0.0004565823,0.0003230553,0.0003413732,0.0002718996],"domain_scores_gemma":[0.9991141,0.0003195931,0.0002452251,0.0001655767,0.0001160386,0.00003946912],"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":[0.0163786,0.00210051,0.07588339,0.0007205734,0.0003265581,0.00003092404,0.01943108,0.000155408,0.8687412,0.00272394,0.001619132,0.01188875],"study_design_scores_gemma":[0.002306207,0.01735997,0.9563773,0.0001173523,0.0002747321,0.00003372007,0.003268507,0.0002686109,0.01693634,0.00001293613,0.002631763,0.0004126136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980099,0.0001068062,0.0004606027,0.00005732391,0.00007177272,0.0009004299,0.0002703374,0.00003289923,0.00008988815],"genre_scores_gemma":[0.9965275,0.000005536638,0.002386234,0.00001679418,0.0000309183,0.0009003429,0.00006782255,0.00002904342,0.00003581079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8804939,"threshold_uncertainty_score":0.7050133,"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."}}