{"id":"W4394710140","doi":"10.1055/a-2305-2115","title":"Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data, and Symptomatic Assessments","year":2024,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NordForsk; National Institute on Aging; National Institutes of Health; Nvidia; U.S. Department of Health and Human Services","keywords":"Medicine; Osteoarthritis; Radiography; Orthodontics; Patellofemoral joint; Physical therapy; Physical medicine and rehabilitation; Radiology; Patella; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002172738,0.0001747011,0.0005175578,0.001025622,0.00004845479,0.00001748047,0.00008339244,0.0001119133,0.0000260881],"category_scores_gemma":[0.0004765952,0.0001324287,0.00006414708,0.0005095904,0.0001194685,0.0004903931,0.00003838425,0.0002066157,5.407364e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002184822,"about_ca_system_score_gemma":0.00004446883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001085428,"about_ca_topic_score_gemma":0.000002705141,"domain_scores_codex":[0.998248,0.000171481,0.0008291272,0.0001863651,0.0003657222,0.0001992756],"domain_scores_gemma":[0.9987629,0.0005374151,0.0002500384,0.0002568906,0.0001058706,0.00008690487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003649002,0.000051999,0.04356412,0.002254241,0.00004308821,0.000007222679,0.001179063,0.00005950274,0.001429795,0.0001108995,0.00002298036,0.9509122],"study_design_scores_gemma":[0.01912992,0.02629013,0.01298911,0.02123414,0.0005715893,0.00007301604,0.001846972,0.9087015,0.00646824,0.0008564388,0.001549649,0.0002893321],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7718218,0.005078345,0.2168447,0.0004244707,0.001058701,0.003293669,0.00005091399,0.0001983683,0.001229001],"genre_scores_gemma":[0.7760314,0.0001493767,0.2227908,0.00007833809,0.0000524662,0.0001021634,0.0007593935,0.00001781425,0.0000183098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9506229,"threshold_uncertainty_score":0.5400284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595648214146579,"score_gpt":0.3802673278773703,"score_spread":0.3543108457359045,"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."}}