{"id":"W1988333843","doi":"10.1016/s1063-4584(09)60372-1","title":"350 AUTOMATED QUANTIFICATION AND DIAGNOSIS OF THE SEVERITY OF THE KNEE ON PLAIN RADIOGRAPHS: THE ROAD STUDY","year":2009,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; University of Toronto","funders":"","keywords":"Plain radiography; Medicine; Radiography; Orthodontics; Radiology","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":[0.001791251,0.0005286701,0.0005547215,0.002252214,0.000215885,0.000912512,0.0006106776,0.000774465,0.001639711],"category_scores_gemma":[0.005058112,0.0004809544,0.0005891313,0.0005428391,0.0004922381,0.0006976643,0.000689372,0.0003063616,0.0009218372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404511,"about_ca_system_score_gemma":0.0003085115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002881244,"about_ca_topic_score_gemma":0.004190296,"domain_scores_codex":[0.9988249,0.0005843334,0.00007422083,0.0002050568,0.0002472584,0.00006415821],"domain_scores_gemma":[0.9966434,0.001335643,0.0005415512,0.0005116406,0.0008275597,0.0001402536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006009737,0.0009038771,0.6659439,0.0004753627,0.0009200741,0.0006191118,0.0006205423,0.005625968,0.06040897,0.0005865089,0.001118707,0.2567672],"study_design_scores_gemma":[0.0003559601,0.004171476,0.9189672,0.00005903304,0.0006167832,0.003851154,0.0004898797,0.05710803,0.01185126,0.0004416594,0.001960124,0.0001274898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878422,0.000620676,0.009839378,0.00003026317,0.00001095161,0.00006324407,0.0002965459,0.0001317734,0.001164825],"genre_scores_gemma":[0.9902979,0.0002042464,0.008503715,0.00002248115,0.00001662545,0.00002129937,0.0002665173,0.00003488217,0.0006324257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881244,"threshold_uncertainty_score":0.009473145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858428203439512,"score_gpt":0.2425010673538078,"score_spread":0.2339167853194127,"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."}}