{"id":"W1982981196","doi":"10.1016/s1063-4584(07)61937-2","title":"305 COMPUTED TOMOGRAPHY TOPOGRAPHIC MAPPING OF BONE DENSITY (CT-TMoBD) IN OSTEOARTHRITIC AND NORMAL KNEES: PRELIMINARY FINDINGS","year":2007,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computed tomography; Medicine; Tomography; Subchondral bone; Orthodontics; Osteoarthritis; Nuclear medicine; Radiology; Pathology; Articular cartilage","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":[],"consensus_categories":[],"category_scores_codex":[0.0004967492,0.0001952006,0.0004705865,0.0004777861,0.00009834336,0.0000209267,0.00003346904,0.0001007444,0.00002373834],"category_scores_gemma":[0.00006113647,0.0001941865,0.000143,0.0005274101,0.0003490508,0.0001457912,0.00006234665,0.0001906865,0.000001203163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074547,"about_ca_system_score_gemma":0.00002186289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004835884,"about_ca_topic_score_gemma":0.0005790615,"domain_scores_codex":[0.9984995,0.00004821539,0.0005214625,0.0003437854,0.0002319624,0.0003550364],"domain_scores_gemma":[0.9993384,0.0001372817,0.00007903958,0.0001868244,0.00008210056,0.0001763563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005799532,0.0003490623,0.6602211,0.00189735,0.00001457002,0.0004016749,0.00341381,0.000001718348,0.1659993,0.0005982672,0.00006131454,0.1664618],"study_design_scores_gemma":[0.005007039,0.002878421,0.9786057,0.001384351,0.00004941519,0.0003332759,0.003368324,0.00002084379,0.007467301,0.0002707932,0.0003314114,0.0002830748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864058,0.01183942,0.00005376868,0.000163993,0.00008973535,0.0005695941,0.000009962093,0.00003298744,0.0008347642],"genre_scores_gemma":[0.9988732,0.000385884,0.0004915281,0.0001229995,0.0000355685,0.00001296736,0.00002785767,0.0000178817,0.00003210255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3183846,"threshold_uncertainty_score":0.7918696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005235707336155474,"score_gpt":0.2166491781544183,"score_spread":0.2114134708182628,"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."}}