{"id":"W4403262661","doi":"10.3168/jds.2024-25420","title":"Effect of training method and dairy cow personality traits on adaptation to an automated milking system","year":2024,"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 Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Agri-Food Innovation Alliance; Canada First Research Excellence Fund; University of Guelph","keywords":"Milking; Adaptation (eye); Big Five personality traits; Personality; Training (meteorology); Animal science; Cow milk; Milk production; Biology; Food science; Statistics; Psychology; Mathematics; Social psychology; Geography","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":[0.0003266528,0.0001698525,0.0001688285,0.0001397834,0.0001491919,0.0001990871,0.0001279396,0.000148358,0.0007894434],"category_scores_gemma":[0.001054324,0.00009393839,0.0001382376,0.00009218998,0.0001367553,0.00008695666,0.0002345953,0.0002486221,0.00008702237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790512,"about_ca_system_score_gemma":0.0001116701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061697,"about_ca_topic_score_gemma":0.002822083,"domain_scores_codex":[0.9997589,0.00009578051,0.00001725935,0.00004158086,0.00004350561,0.0000429683],"domain_scores_gemma":[0.9990435,0.0002444366,0.0002850872,0.00007788857,0.00007266788,0.0002763084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01118239,0.002959347,0.7220289,0.0001014556,0.0002588198,0.0002780311,0.0006516861,0.0006348426,0.2096018,0.00002762733,0.0002578897,0.05201733],"study_design_scores_gemma":[0.00001274857,0.002478531,0.9952111,0.00000397463,0.00001801492,0.00003263891,0.00009578501,0.0003241879,0.001672986,0.000006831369,0.0001395803,0.000003697914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998412,0.00002164383,0.00004545514,0.0000048239,0.000001580373,0.000003601173,0.000009517871,0.000001021226,0.00007110411],"genre_scores_gemma":[0.9993462,0.00003939114,0.0002422079,0.00002567811,0.000004176525,0.00001583114,0.00004025481,0.000001141723,0.0002850982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061697,"threshold_uncertainty_score":0.002640903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09396552015153486,"score_gpt":0.4192841055128084,"score_spread":0.3253185853612736,"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."}}