{"id":"W2410544581","doi":"10.1111/vru.12370","title":"COMPARISONS AMONG RADIOGRAPHY, ULTRASONOGRAPHY AND COMPUTED TOMOGRAPHY FOR EX VIVO CHARACTERIZATION OF STIFLE OSTEOARTHRITIS IN THE HORSE","year":2016,"lang":"en","type":"article","venue":"Veterinary Radiology & Ultrasound","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Medicine; Radiography; Osteoarthritis; Stifle joint; Radiology; Horse; Tomography; Condyle; Nuclear medicine; Conventional radiography; Lameness; Cruciate ligament; Anatomy; Anterior cruciate ligament; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001321792,0.0004643518,0.0008481338,0.0009552998,0.000222213,0.00005498071,0.0007884259,0.0003283858,0.0001312612],"category_scores_gemma":[0.0003250248,0.0003200707,0.0003619686,0.001091823,0.002145452,0.0004085443,0.0001283042,0.0003520992,0.000005836076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514627,"about_ca_system_score_gemma":0.00004227588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006416543,"about_ca_topic_score_gemma":0.00002141923,"domain_scores_codex":[0.9958877,0.001091768,0.0009072574,0.000814644,0.0003813392,0.000917274],"domain_scores_gemma":[0.995007,0.003579945,0.0003080663,0.0007503218,0.0001270485,0.0002275837],"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":[0.001868021,0.0003185983,0.2093851,0.000173678,0.0001371829,0.0002267312,0.0007554504,5.089881e-7,0.7816644,0.0002621762,0.00071525,0.004492898],"study_design_scores_gemma":[0.004043258,0.02006468,0.9582207,0.0003659355,0.00006504038,0.005309004,0.0003669609,0.00006610154,0.0008976948,0.000313082,0.009730344,0.0005571903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916955,0.0005551153,0.004510638,0.0003774051,0.0003578602,0.001626915,0.0006289401,0.0001003941,0.0001471962],"genre_scores_gemma":[0.9974026,0.0005103379,0.001111881,0.0001246748,0.0001838866,0.0004186547,0.0001663751,0.00005786323,0.00002373339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7807667,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04771314792933938,"score_gpt":0.31704940391946,"score_spread":0.2693362559901206,"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."}}