{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001895944,0.0002726624,0.0004264519,0.00001299162,0.001758114,0.0001454357,0.0001176106,0.00009219219,0.00008127871],"category_scores_gemma":[0.000008261012,0.0001046813,0.00006992675,0.0003532319,0.00003523997,0.0001299172,0.00009152244,0.0002344169,0.00000503273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300325,"about_ca_system_score_gemma":0.00003113948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578003,"about_ca_topic_score_gemma":0.001384357,"domain_scores_codex":[0.9980776,0.0001773716,0.0003278409,0.0005671003,0.0002993651,0.000550696],"domain_scores_gemma":[0.999272,0.00004361738,0.000225468,0.00007129493,0.00008220823,0.0003054114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003195142,0.003035457,0.2071365,0.002527775,0.001374773,0.001070055,0.02441779,0.003919298,0.1726584,0.1142829,0.003991954,0.4623899],"study_design_scores_gemma":[0.002198334,0.009059279,0.4335285,0.001567703,0.00007364254,0.002432005,0.2596291,0.002159731,0.0003286696,0.00002260395,0.2868149,0.002185565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580241,0.003923306,0.00001307824,0.03684405,0.0001983448,0.0004050427,0.00009338155,0.0001139075,0.0003847872],"genre_scores_gemma":[0.9975217,0.0001316558,0.0001759899,0.001607382,0.000229402,0.000005928257,0.0002767121,0.000004212448,0.00004701366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4602044,"threshold_uncertainty_score":0.9995415,"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."}}