{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188605,0.0003575814,0.0002416326,0.001272401,0.0001236353,0.0004649701,0.0002118983,0.000438488,0.0009175556],"category_scores_gemma":[0.003060604,0.0003236777,0.0002258634,0.0003606545,0.0002975863,0.0004858176,0.0002186924,0.0001647733,0.0001363966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504088,"about_ca_system_score_gemma":0.0001369766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004684658,"about_ca_topic_score_gemma":0.001113435,"domain_scores_codex":[0.9992868,0.0003702843,0.00009463989,0.00008900027,0.0001227308,0.00003668199],"domain_scores_gemma":[0.9984384,0.0006475947,0.000362114,0.0001484115,0.0003117028,0.0000918267],"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":[0.003631248,0.0007817792,0.4195642,0.0003046162,0.0001999411,0.0005462457,0.0004606415,0.0009188556,0.5409366,0.0000975888,0.00007228134,0.03248587],"study_design_scores_gemma":[0.00006756393,0.006821676,0.948375,0.00002909782,0.0001346733,0.002594039,0.0003118496,0.003383049,0.03781535,0.0000405429,0.0004017934,0.00002541004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973165,0.0006995262,0.001748335,0.00000701886,0.000002965843,0.0000235459,0.00003855212,0.000005455248,0.0001580145],"genre_scores_gemma":[0.995064,0.0004371572,0.004031446,0.00001794521,0.00001037591,0.00003765493,0.000152306,0.000003615543,0.000245525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188605,"threshold_uncertainty_score":0.01157463,"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."}}