{"id":"W3117875185","doi":"10.3168/jds.2019-17666","title":"Making tiestalls more comfortable: II. Increasing chain length to improve the ease of movement of dairy cows","year":2020,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Novalait; Dairy Farmers of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Lying; Animal science; Dairy cattle; Mathematics; Stall (fluid mechanics); Physical medicine and rehabilitation; Medicine; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004778593,0.0005098138,0.0002986219,0.0004985791,0.0004318132,0.0006753738,0.0009086109,0.0004971509,0.006000222],"category_scores_gemma":[0.001245773,0.0002250899,0.0004074597,0.0003702544,0.0003248277,0.0007871144,0.0008626736,0.0005394644,0.0007475652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440741,"about_ca_system_score_gemma":0.0004751117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005904208,"about_ca_topic_score_gemma":0.01812602,"domain_scores_codex":[0.9995391,0.00009584406,0.00003830497,0.0001149521,0.0001115468,0.0001003614],"domain_scores_gemma":[0.9994389,0.00009068009,0.0002110308,0.00004028489,0.00008813718,0.0001309147],"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":[0.008318867,0.008647477,0.03560972,0.002913554,0.0002486354,0.0002936447,0.001536161,0.002198424,0.7276138,0.0004243206,0.001497715,0.2106976],"study_design_scores_gemma":[0.001682791,0.09826354,0.5473969,0.0008015282,0.001057083,0.0005845329,0.004066922,0.007969439,0.2840478,0.000688532,0.05321464,0.0002261883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994572,0.0005721761,0.002948663,0.0001557915,0.00003670652,0.0001726596,0.0002100593,0.00006090756,0.001270957],"genre_scores_gemma":[0.957048,0.001158079,0.03495466,0.0002147513,0.000051381,0.0004016063,0.0007626428,0.00005956993,0.005349377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006000222,"threshold_uncertainty_score":0.02007276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06782698499698205,"score_gpt":0.3423837434387947,"score_spread":0.2745567584418127,"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."}}