{"id":"W4229082730","doi":"10.3168/jds.2021-21657","title":"Effects of concentrate allowance and individual dairy cow personality traits on behavior and production of dairy cows milked in a free-traffic automated milking system","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Agri-Food Innovation Alliance; Canada First Research Excellence Fund; University of Guelph","keywords":"Milking; Automatic milking; Animal science; Dry matter; Allowance (engineering); Dairy cattle; Lactation; Biology; Ice calving; Operations management; Engineering; Pregnancy","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":[0.0003905529,0.0002446451,0.0002913742,0.0002542216,0.0002341747,0.0003634501,0.0001540302,0.0001922482,0.0004373042],"category_scores_gemma":[0.001035533,0.0001750056,0.000272621,0.0001482184,0.0002556357,0.0001541097,0.0003017503,0.0003519654,0.00006680316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183621,"about_ca_system_score_gemma":0.0001824129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825886,"about_ca_topic_score_gemma":0.004352128,"domain_scores_codex":[0.9996046,0.0001462653,0.00003108886,0.00007814211,0.00007624698,0.00006365104],"domain_scores_gemma":[0.9989566,0.0002360399,0.0003745658,0.00007577991,0.00006923503,0.0002878703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01132127,0.001407546,0.6920544,0.00005980863,0.0004937168,0.0003941552,0.0005491505,0.0004610212,0.2802215,0.00002918183,0.00008194603,0.01292642],"study_design_scores_gemma":[0.00001029903,0.001718207,0.9950784,0.00000146939,0.00002848112,0.0000476112,0.00008441351,0.0002393262,0.002716423,0.0000062119,0.00006496871,0.000004040496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999175,0.00001701105,0.00002382203,0.000002715391,5.138829e-7,0.000001333269,0.00001030273,6.210031e-7,0.00002624892],"genre_scores_gemma":[0.9996617,0.0000207631,0.0001300378,0.00001561769,0.000002235337,0.000005758934,0.00005102334,0.000001294001,0.0001116741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001825886,"threshold_uncertainty_score":0.003630459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691254895081972,"score_gpt":0.3033219838391407,"score_spread":0.266409434888321,"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."}}