{"id":"W3084715031","doi":"10.1136/vr.105781","title":"Reliability of a beef cattle locomotion scoring system for use in clinical practice","year":2020,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Animal Welfare Foundation; Animal Welfare Foundation of Canada","keywords":"Lameness; Scoring system; CLIPS; Reliability (semiconductor); Beef cattle; Kappa; Medicine; Categorization; Physical therapy; Physical medicine and rehabilitation; Computer science; Mathematics; Surgery; Artificial intelligence; Animal science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006659683,0.0001731057,0.0004699519,0.00004624985,0.00006853012,0.0000184715,0.0001607171,0.0001142416,0.00001628892],"category_scores_gemma":[0.00113424,0.0001691843,0.0001991377,0.0001820657,0.00007608151,0.0004536234,0.0002004615,0.0002132836,0.00002722946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008451779,"about_ca_system_score_gemma":0.00002851372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003799222,"about_ca_topic_score_gemma":0.000007370247,"domain_scores_codex":[0.9979891,0.0002904431,0.0008659651,0.0004739497,0.000142461,0.000238142],"domain_scores_gemma":[0.9984468,0.0007242774,0.0002684086,0.0002870057,0.0001803592,0.00009315294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03658199,0.001600391,0.8526232,0.003909597,0.0001368764,0.0009694129,0.002126953,0.00001927742,0.03822552,0.0003452222,0.001719251,0.06174237],"study_design_scores_gemma":[0.00143984,0.01814656,0.9534098,0.0002714226,0.0001081155,0.0001807216,0.001701802,0.0006153483,0.00008236161,0.00001214092,0.02369016,0.0003417075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965397,0.00005094109,0.001298357,0.000292273,0.0005414437,0.000669953,0.0000648852,0.0001069308,0.0004355425],"genre_scores_gemma":[0.9872988,0.00002867375,0.01226622,0.00006673328,0.000181574,0.0001054288,0.00001015283,0.00002967024,0.00001274284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007867,"threshold_uncertainty_score":0.6899136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363173719587891,"score_gpt":0.4169231488537881,"score_spread":0.180605776894999,"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."}}