{"id":"W2010553210","doi":"10.1016/j.jocd.2013.09.017","title":"Normative Data for Multisite Quantitative Ultrasound: The Canadian Multicenter Osteoporosis Study","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Université Laval; University of Victoria; University of Calgary; University of Saskatchewan","funders":"","keywords":"Medicine; Normative; Osteoporosis; Fragility fracture; Demography; Population; Gerontology; Environmental health; Internal medicine; Bone mineral","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006412295,0.0001794609,0.000894655,0.0004044421,0.0003404625,0.0001434757,0.0006275632,0.0001891864,0.0001862595],"category_scores_gemma":[0.02203188,0.0001026056,0.0002916481,0.0004927443,0.000232318,0.0004772925,0.000126407,0.001306792,0.0001884092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333977,"about_ca_system_score_gemma":0.001017433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02469399,"about_ca_topic_score_gemma":0.06450148,"domain_scores_codex":[0.9957078,0.0005643609,0.001993407,0.0002938673,0.0009055098,0.000535134],"domain_scores_gemma":[0.9853122,0.008860372,0.0008861957,0.0009379166,0.002654233,0.00134907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001296057,0.001105765,0.9285575,0.00009051518,0.0005674301,0.00007652836,0.001168438,0.000001465258,0.0001691571,0.000007641359,0.05636799,0.01059157],"study_design_scores_gemma":[0.005787777,0.003361034,0.9740791,0.0001005002,0.0002521901,0.0001169216,0.008546111,0.0008819899,0.00005144725,0.00003062167,0.006679438,0.0001128183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889101,0.0003511734,0.0001250952,0.007113139,0.0009908268,0.002189982,0.00009393689,0.000007635031,0.0002181267],"genre_scores_gemma":[0.9877481,0.0001352815,0.007797054,0.003351809,0.0006835049,0.00001930531,0.00002975201,0.00002694469,0.0002082548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04968855,"threshold_uncertainty_score":0.9862059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902352862044361,"score_gpt":0.5043957718456419,"score_spread":0.3141604856412058,"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."}}