{"id":"W1973685319","doi":"10.1385/jcd:7:4:448","title":"Relationship Among MRTA, DXA, and QUS","year":2004,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Osteoporosis Canada; University Health Network","funders":"Canadian Institutes of Health Research; Eli Lilly and Company","keywords":"Medicine; Ulna; Bone mineral; Bone mineral content; Orthodontics; Osteoporosis; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002775052,0.00008672813,0.0005765636,0.0003411441,0.00007611219,0.00002384739,0.00006904973,0.0002498659,0.00003760156],"category_scores_gemma":[0.008379988,0.0000638895,0.0002181727,0.0004122497,0.0002036182,0.0001372885,0.00003538546,0.001172653,0.00003432517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004802589,"about_ca_system_score_gemma":0.0004929106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002829402,"about_ca_topic_score_gemma":0.00001619036,"domain_scores_codex":[0.9975688,0.0001251062,0.001321494,0.0001365739,0.000613549,0.0002344892],"domain_scores_gemma":[0.9967976,0.001284766,0.0004264803,0.0001779054,0.0004419454,0.0008713664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004954642,0.000183003,0.9919512,0.00006323707,0.00003278428,0.0003527003,0.00002877444,0.000002029423,0.00005646719,0.00009670865,0.001466676,0.005270982],"study_design_scores_gemma":[0.003834214,0.001107421,0.99155,0.0001830464,0.00007241064,0.0006823194,0.00008211062,0.000009752577,0.0001125669,0.00108585,0.001223461,0.00005687228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926001,0.001188664,0.0001236935,0.004497844,0.0005172794,0.0001128826,7.851536e-7,0.000009200174,0.0009495571],"genre_scores_gemma":[0.9944328,0.0004175128,0.002890826,0.0009717725,0.0009787525,4.921596e-7,8.519152e-7,0.00001315337,0.0002938046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005604935,"threshold_uncertainty_score":0.9999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146947483588653,"score_gpt":0.4862077423717045,"score_spread":0.3715129940128392,"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."}}