{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04966103,0.000407893,0.0005899328,0.001959021,0.000566506,0.001173982,0.0008445458,0.0008015495,0.001464128],"category_scores_gemma":[0.1011398,0.0003870835,0.0005965872,0.0009658966,0.0008739941,0.0009420872,0.00130642,0.000586983,0.0007983262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082846,"about_ca_system_score_gemma":0.001295433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741825,"about_ca_topic_score_gemma":0.002331108,"domain_scores_codex":[0.9656941,0.01958087,0.004603666,0.002044149,0.007544808,0.0005324517],"domain_scores_gemma":[0.9016424,0.04612524,0.008522953,0.005304818,0.03740532,0.0009992457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00202423,0.0003680395,0.7837891,0.0006543367,0.0003500572,0.0001388374,0.003618272,0.001450286,0.009699778,0.0003245598,0.003160343,0.1944222],"study_design_scores_gemma":[0.0002107686,0.003451054,0.9652554,0.0004791649,0.0002342368,0.0008492274,0.002545427,0.01612972,0.005180693,0.0005897148,0.004953553,0.0001211444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606917,0.001012005,0.03024532,0.0003383034,0.0002482413,0.00113786,0.0003757108,0.000289005,0.005661857],"genre_scores_gemma":[0.9741992,0.0002474046,0.02421559,0.00006188807,0.00005236174,0.0004566756,0.0003285176,0.0000346124,0.0004036397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04966103,"threshold_uncertainty_score":0.2626358,"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."}}