{"id":"W2885044375","doi":"10.3168/jds.2018-14662","title":"Producer experience with transitioning to automatic milking: Cow training, challenges, and effect on quality of life","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; University of Guelph; University of Calgary","funders":"Agriculture and Agri-Food Canada; University of Guelph; Dairy Farmers of Manitoba; Dairy Farmers of Canada; Faculty of Veterinary Medicine, University of Calgary; University of Saskatchewan; Université Laval","keywords":"Milking; Herd; Automatic milking; Business; Flexibility (engineering); Work (physics); Agricultural science; Quality (philosophy); Documentation; Dairy industry; Operations management; Animal science; Engineering; Ice calving; Economics; Computer science; Biology; Management; Food science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001772143,0.0001039048,0.0002526798,0.00002808242,0.0002240716,0.0000333418,0.0002922131,0.00003190114,0.00001974553],"category_scores_gemma":[0.0001878324,0.00003147224,0.00004133936,0.0004427376,0.0004369763,0.0003083891,0.00002439689,0.0001010731,0.000001773352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704067,"about_ca_system_score_gemma":0.00004898638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001188199,"about_ca_topic_score_gemma":0.0000638918,"domain_scores_codex":[0.9985887,0.00009906148,0.0003185647,0.0002206608,0.0005711052,0.0002018377],"domain_scores_gemma":[0.9990483,0.0001906087,0.0002730963,0.0000536864,0.0002207342,0.0002136038],"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":[0.0003780508,0.0001377433,0.00780282,0.00003528057,0.00001813256,0.000005879893,0.02676815,0.0000131006,0.635706,0.0004781471,0.00005207884,0.3286046],"study_design_scores_gemma":[0.0002763729,0.006414691,0.9801748,0.0002174346,0.000009655319,0.00005750654,0.004141261,0.00003124798,0.007807666,0.0000465642,0.0006705476,0.0001522418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977021,0.0001840207,0.00002851064,0.001277407,0.00009333572,0.0001177253,0.000002052266,0.00000998096,0.0005848972],"genre_scores_gemma":[0.9988788,0.000017979,0.0006187133,0.000244881,0.0002270342,0.000002102388,2.22637e-7,4.887686e-7,0.000009757408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.972372,"threshold_uncertainty_score":0.17234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528635317666955,"score_gpt":0.2835362713705946,"score_spread":0.2306727396038991,"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."}}