{"id":"W2886134244","doi":"10.1177/1947603518789997","title":"Modeling and Staging of Osteoarthritis Progression Using Serial CT Imaging and Arthroscopy","year":2018,"lang":"en","type":"article","venue":"Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"","keywords":"Osteoarthritis; Medicine; Arthroscopy; Cartilage; Compartment (ship); Cartilage damage; Surgery; Radiology; Articular cartilage; Nuclear medicine; Pathology; Anatomy","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":[0.0008325625,0.0006563925,0.0003108588,0.0007086492,0.0001295125,0.0007355364,0.0004855268,0.0005071094,0.0007460557],"category_scores_gemma":[0.001936875,0.0004057304,0.0004293445,0.0003156135,0.0002707831,0.0003607028,0.0002353415,0.0003232978,0.0002714751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004654626,"about_ca_system_score_gemma":0.0005329654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005359703,"about_ca_topic_score_gemma":0.006046439,"domain_scores_codex":[0.9997537,0.00008117294,0.00002439368,0.00006912309,0.00005498547,0.00001666564],"domain_scores_gemma":[0.9993985,0.0002298821,0.0002275573,0.00004203715,0.00007932293,0.00002265853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001053305,0.0004320991,0.1047708,0.0005146968,0.0002473142,0.0004034646,0.000263256,0.6500545,0.1273797,0.003186745,0.0007995679,0.1108945],"study_design_scores_gemma":[0.00002326447,0.0003956595,0.01310815,0.00002483976,0.00006527725,0.0002532356,0.00003553594,0.9748868,0.009392442,0.0005770053,0.001210694,0.00002695685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5128625,0.001425688,0.4821752,0.0002072814,0.00003616058,0.0002401745,0.0006940382,0.0005897768,0.001769129],"genre_scores_gemma":[0.8851883,0.0006516845,0.1118988,0.00002284714,0.00001455086,0.0002352366,0.0003598463,0.00003626643,0.001592533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005359703,"threshold_uncertainty_score":0.01065701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638745251387693,"score_gpt":0.2927228566815472,"score_spread":0.2763354041676703,"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."}}