{"id":"W2052790810","doi":"10.1111/ocr.12024","title":"The validity, reliability, and time requirement of study model analysis using cone‐beam computed tomography–generated virtual study models","year":2013,"lang":"en","type":"article","venue":"Orthodontics and Craniofacial Research","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cone beam computed tomography; Reliability (semiconductor); Intra-rater reliability; Orthodontics; Dentistry; Repeated measures design; Computed tomography; Medicine; Mathematics; Statistics; Confidence interval; Surgery","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":[0.004626565,0.0002495977,0.0005691003,0.0005946003,0.001057012,0.0007021432,0.0003906222,0.00008865888,0.00003361206],"category_scores_gemma":[0.000151695,0.0001953628,0.0001968441,0.002147367,0.0005900561,0.0003836514,0.0006365683,0.0004057373,0.000004471136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003723799,"about_ca_system_score_gemma":0.00006690807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909145,"about_ca_topic_score_gemma":0.0002796089,"domain_scores_codex":[0.9956,0.001065754,0.0006805407,0.0006378378,0.001446855,0.0005690341],"domain_scores_gemma":[0.9976132,0.0004256141,0.0001360747,0.0006362768,0.0009585742,0.0002302872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001352236,0.001679049,0.9776508,0.00002570276,0.001213703,0.00002337898,0.001787262,0.01022189,0.00484406,0.0004656069,0.0001386477,0.001814641],"study_design_scores_gemma":[0.001070035,0.0006284636,0.2114797,0.00001249345,0.0004762535,0.000003952009,0.004155897,0.7804514,0.000110698,0.001386475,0.000004267561,0.0002203657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916199,0.0001124082,0.006208341,0.00002458578,0.00009013513,0.001616835,0.00003912195,0.00003037894,0.0002583361],"genre_scores_gemma":[0.9991346,0.00005236122,0.0004658492,0.000008146078,0.00003532979,0.00004187302,0.000008392637,0.00002558827,0.0002278571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702295,"threshold_uncertainty_score":0.8129792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242281873599006,"score_gpt":0.3771818852155797,"score_spread":0.2529536978556792,"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."}}