{"id":"W2897470213","doi":"10.1002/jum.14844","title":"Prescreening for Osteoporosis With Quantitative Ultrasound in Postmenopausal White Women","year":2018,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Osteoporosis Canada","funders":"","keywords":"Medicine; Femoral neck; Cutoff; Osteoporosis; Bone mineral; Nuclear medicine; Receiver operating characteristic; Ultrasound; Dual-energy X-ray absorptiometry; Bone density; Radiology; Internal medicine","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":[0.003544813,0.0002716108,0.001072043,0.0008907262,0.0001022636,0.00002348272,0.0002163826,0.0001559856,0.0004728393],"category_scores_gemma":[0.005935804,0.0001783447,0.00006078,0.0009506507,0.0005971694,0.0003120369,0.0000170796,0.0008229923,0.000006577173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000466003,"about_ca_system_score_gemma":0.0006971384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001797167,"about_ca_topic_score_gemma":0.0003602189,"domain_scores_codex":[0.9964111,0.0001706508,0.001287642,0.0003109992,0.0009533504,0.0008662945],"domain_scores_gemma":[0.9945977,0.003038023,0.0005343637,0.0002726493,0.0009808827,0.0005763774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04114035,0.001233733,0.7505693,0.0009886359,0.0003249432,0.0004211168,0.04877508,0.00003345641,0.1349277,0.0003135679,0.01607083,0.005201253],"study_design_scores_gemma":[0.03778613,0.1052269,0.7584909,0.00449143,0.0001928793,0.00379129,0.06551999,0.00009724962,0.00220992,0.0008658004,0.02083036,0.0004971243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913145,0.001091111,0.0006131372,0.003853706,0.0002318176,0.0009115926,0.00001289451,0.00001150502,0.001959789],"genre_scores_gemma":[0.9838431,0.0005427072,0.01269918,0.001495318,0.0008009658,0.00004940663,0.00001902294,0.00005025414,0.0004999956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1327178,"threshold_uncertainty_score":0.7272686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334489528118989,"score_gpt":0.3617364204889226,"score_spread":0.3282874676770237,"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."}}