{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598364,0.001370688,0.001178013,0.001558851,0.0003708648,0.001853365,0.0007560963,0.0007560376,0.007426723],"category_scores_gemma":[0.007482171,0.0008144105,0.001008665,0.001479462,0.000290147,0.001073914,0.001012701,0.0007030999,0.003521501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730808,"about_ca_system_score_gemma":0.0007770579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0030642,"about_ca_topic_score_gemma":0.004035886,"domain_scores_codex":[0.9984905,0.0004292117,0.0001138999,0.0002171649,0.0006590011,0.00009025667],"domain_scores_gemma":[0.9978271,0.0008032927,0.0001041741,0.000361756,0.0008569484,0.0000467557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008646094,0.00009597764,0.01217006,0.0003727323,0.0002366439,0.0001738418,0.0001251564,0.07748661,0.08049142,0.003361693,0.005307653,0.8193136],"study_design_scores_gemma":[0.0001459438,0.0004501436,0.04048618,0.0001372766,0.0007670707,0.001952493,0.000147036,0.7715392,0.1521052,0.0138572,0.01827647,0.0001357309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02908433,0.00121411,0.9605741,0.0002208855,0.00008582728,0.00006186383,0.000410153,0.003447296,0.00490139],"genre_scores_gemma":[0.3265741,0.001046246,0.6639839,0.000121307,0.0001345472,0.00007137766,0.001124108,0.002994071,0.00395031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007426723,"threshold_uncertainty_score":0.02484483,"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."}}