{"id":"W3125182409","doi":"10.7120/09627286.30.1.025","title":"Connecting farmer mental health with cow health and welfare on dairy farms using robotic milking systems","year":2021,"lang":"en","type":"article","venue":"Animal Welfare","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milking; Udder; Lameness; Animal welfare; Anxiety; Welfare; Somatic cell count; Automatic milking; Medicine; Herd; Mental health; Animal science; Veterinary medicine; Mastitis; Environmental health; Lactation; Biology; Pregnancy; Ice calving; Psychiatry; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005256507,0.0001309693,0.0001626748,0.0003830755,0.0007560711,0.00066813,0.0002221535,0.0002332873,0.001895193],"category_scores_gemma":[0.001607493,0.0001341498,0.0002149859,0.0003298299,0.0004405985,0.0003261791,0.0005485224,0.0002591531,0.0001544737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069072,"about_ca_system_score_gemma":0.0006845115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04280649,"about_ca_topic_score_gemma":0.1291597,"domain_scores_codex":[0.9996075,0.0001251677,0.0000221778,0.00004245431,0.00008322875,0.0001195849],"domain_scores_gemma":[0.9986441,0.0002939906,0.0005957726,0.00003517837,0.0002410969,0.0001899934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005429089,0.00009352049,0.9900473,0.00003694317,0.00002151695,0.0001396402,0.002603172,0.00004292433,0.0007312681,0.00001078851,0.0001053235,0.006113401],"study_design_scores_gemma":[0.000001324675,0.0001428629,0.9939457,0.00001444216,0.000007031234,0.00005055907,0.005466724,0.0000673252,0.00005235182,0.000008350346,0.0002396913,0.00000364658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994323,0.00003759193,0.00003521446,0.00004163746,0.00000106815,0.000008736305,0.00005140447,9.926449e-7,0.0003909912],"genre_scores_gemma":[0.9995203,0.00008333656,0.00009087325,0.0000283573,0.000001968304,0.000009204336,0.00004071133,3.851814e-7,0.0002247887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04280649,"threshold_uncertainty_score":0.08511472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562550508343229,"score_gpt":0.2464312080130919,"score_spread":0.2208057029296596,"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."}}