{"id":"W2058194724","doi":"10.1016/j.bone.2009.02.007","title":"Use of co-registered high-resolution computed tomography scans before and after screw insertion as a novel technique for bone mineral density determination along screw trajectory","year":2009,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Cadaveric spasm; Bone mineral; Materials science; Biomedical engineering; Tomography; Region of interest; Nuclear medicine; Resolution (logic); Physics; Medicine; Radiology; Optics; Computer science; Anatomy; Osteoporosis; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001278835,0.0006866038,0.0008800099,0.002400565,0.0004679834,0.00113888,0.0009127519,0.001477925,0.001223043],"category_scores_gemma":[0.003347918,0.001289587,0.0003996397,0.002248029,0.0006896503,0.001339768,0.0006733442,0.001118327,0.0004540263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217073,"about_ca_system_score_gemma":0.001049438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202334,"about_ca_topic_score_gemma":0.006396904,"domain_scores_codex":[0.9991874,0.0002206095,0.00007022922,0.0001640264,0.000303244,0.00005446773],"domain_scores_gemma":[0.9973837,0.0009958437,0.0003765084,0.0003615414,0.0007500005,0.0001324492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003774627,0.0001857679,0.03196902,0.0005340204,0.0001965747,0.0009394131,0.0004282782,0.001274832,0.8372212,0.0006390958,0.0005460541,0.1222911],"study_design_scores_gemma":[0.0004316074,0.001620068,0.1646974,0.0001448956,0.001381732,0.02558564,0.000618929,0.0616723,0.7368876,0.0006877799,0.005933595,0.0003384882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4933988,0.006493785,0.4927388,0.0003618955,0.0003331723,0.000307053,0.0006218503,0.001190365,0.004554418],"genre_scores_gemma":[0.6597619,0.002322461,0.3359368,0.0001281043,0.0001523919,0.0001562595,0.0002424018,0.0002829538,0.001016729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400565,"threshold_uncertainty_score":0.00676322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647767479594049,"score_gpt":0.3157517601757356,"score_spread":0.2792740853797951,"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."}}