{"id":"W204620214","doi":"10.1385/jcd:8:3:335","title":"Optimizing Results From pQCT","year":2005,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of Calgary; Children's & Women's Health Centre of British Columbia; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"Quantitative computed tomography; Medicine; Computed tomography; Reliability (semiconductor); Nuclear medicine; RADIUS; Biomedical engineering; Bone density; Radiology; Osteoporosis; Computer science; 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":[0.001787138,0.00009385058,0.0005928731,0.0001533481,0.00003306618,0.00001990423,0.0001678248,0.0001628606,0.0001245322],"category_scores_gemma":[0.004952225,0.00006715459,0.0003732586,0.0002660966,0.0001010299,0.000091764,0.00005009705,0.0009059631,0.00007265405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002983067,"about_ca_system_score_gemma":0.0001276939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006081781,"about_ca_topic_score_gemma":5.070322e-7,"domain_scores_codex":[0.9973543,0.00006227148,0.001784506,0.0001660773,0.0004811463,0.0001517508],"domain_scores_gemma":[0.9969837,0.001203915,0.0006901902,0.0003327013,0.0003245845,0.0004649187],"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":[0.002343692,0.00187056,0.02929763,0.00002485897,0.0004757556,0.0006214998,0.0001416179,0.00002991061,0.008737938,0.0001777455,0.5739921,0.3822867],"study_design_scores_gemma":[0.01021654,0.0009960121,0.1508284,0.0008768645,0.0006606302,0.0007930963,0.00009564147,0.006284541,0.009904523,0.0008073559,0.8182348,0.0003016171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444749,0.0003448013,0.01160621,0.03984521,0.0004260415,0.00009681695,0.000009634559,0.00005621253,0.003140144],"genre_scores_gemma":[0.6840641,0.0003695639,0.3093224,0.002634499,0.003333197,4.549798e-7,0.00000447925,0.00001073127,0.0002605589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819851,"threshold_uncertainty_score":0.5928634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063765296407425,"score_gpt":0.470451307207821,"score_spread":0.3640747775670786,"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."}}