{"id":"W887558271","doi":"10.1016/j.bone.2015.07.005","title":"Flawed validation of FRAX","year":2015,"lang":"ru","type":"letter","venue":"Bone","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"FRAX; Medicine; Psychology; Internal medicine; Osteoporotic fracture; Osteoporosis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008426741,0.0003242187,0.0005835071,0.0002211918,0.00004068119,0.0001512333,0.001043983,0.0005491046,0.00038474],"category_scores_gemma":[0.0002008357,0.0002973064,0.0001639834,0.0003126289,0.0001476742,0.0003978508,0.0003154721,0.0006982019,0.0005453194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104464,"about_ca_system_score_gemma":0.0001941673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005467275,"about_ca_topic_score_gemma":0.000001500991,"domain_scores_codex":[0.9971939,0.0001591738,0.0006787429,0.0005234231,0.001062805,0.0003820085],"domain_scores_gemma":[0.9977217,0.00007035648,0.0004087875,0.0009295319,0.0007674979,0.0001021634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001822893,0.0001160835,0.0001064196,0.0001786448,0.00004724309,0.00002693258,0.000322057,8.112696e-7,0.01261463,0.004611002,0.9726295,0.009328411],"study_design_scores_gemma":[0.0008804802,0.002320627,0.0002979096,0.001759749,0.0001834374,0.00002138927,0.00002237254,0.002742772,0.3847289,0.02410056,0.5815081,0.001433686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01492303,0.001816312,0.2664697,0.2844395,0.006399826,0.002478523,0.00009248585,0.001006332,0.4223743],"genre_scores_gemma":[0.849391,0.0001505223,0.07409289,0.05127732,0.004234271,0.0001137406,0.0002082559,0.0001201883,0.02041181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.834468,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08306755249984697,"score_gpt":0.2881074544094402,"score_spread":0.2050399019095933,"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."}}