{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03331549,0.0005442996,0.0009476542,0.001471542,0.002842979,0.003632716,0.003870483,0.01058539,0.005858025],"category_scores_gemma":[0.1027669,0.0005521444,0.000725267,0.0006669365,0.006214077,0.003089395,0.002637126,0.009295681,0.004315106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467808,"about_ca_system_score_gemma":0.002802594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001984567,"about_ca_topic_score_gemma":0.001945863,"domain_scores_codex":[0.9789597,0.00719827,0.000836583,0.001649694,0.0101774,0.001178258],"domain_scores_gemma":[0.9170488,0.05770011,0.001638706,0.009761806,0.0128058,0.001044757],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0018545,0.000256457,0.006013173,0.0005376678,0.0001276565,0.004573784,0.003038932,0.002910473,0.04051256,0.4377394,0.2837446,0.2186908],"study_design_scores_gemma":[0.0002329953,0.0007198225,0.002322767,0.0006487559,0.00009549651,0.004392347,0.0008576565,0.01821399,0.1463321,0.08731066,0.7386447,0.0002287733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07509524,0.01150956,0.2826134,0.4603611,0.03253087,0.0003811436,0.001130796,0.00459127,0.1317866],"genre_scores_gemma":[0.6942819,0.003999824,0.1548241,0.09091476,0.006079273,0.00084081,0.0005934365,0.001278589,0.04718729],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9666845,"threshold_uncertainty_score":0.1761913,"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."}}