{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02535158,0.0004690742,0.0004496932,0.001429706,0.0004415251,0.001113627,0.0008751929,0.0004094271,0.0008389921],"category_scores_gemma":[0.118052,0.0004577556,0.0009747656,0.0006915191,0.0009453907,0.00123357,0.001425211,0.0003680175,0.0003175917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964985,"about_ca_system_score_gemma":0.0009300701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393376,"about_ca_topic_score_gemma":0.002337388,"domain_scores_codex":[0.9735005,0.01505721,0.003035468,0.001636452,0.006305245,0.000465171],"domain_scores_gemma":[0.8648465,0.08888636,0.01786115,0.01070113,0.0166777,0.001027169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001968856,0.0002393639,0.902141,0.0003478592,0.0003573972,0.0002483239,0.006116865,0.002020752,0.006489142,0.0002386214,0.0004702759,0.07936151],"study_design_scores_gemma":[0.0000943145,0.002638042,0.9545776,0.000240784,0.0003200663,0.002112315,0.004596022,0.02333118,0.009061664,0.0002888375,0.002644529,0.0000946143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898803,0.000381949,0.008180335,0.00006768038,0.00003549049,0.000126318,0.0001091026,0.00004694889,0.001171818],"genre_scores_gemma":[0.993143,0.0001100037,0.006282901,0.00001350327,0.00001948711,0.0001025046,0.0001352436,0.00002577327,0.0001675122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02535158,"threshold_uncertainty_score":0.1340736,"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."}}