{"id":"W2615026852","doi":"10.1016/j.joen.2017.02.006","title":"Influence of Intracanal Materials in Vertical Root Fracture Pathway Detection with Cone-beam Computed Tomography","year":2017,"lang":"en","type":"article","venue":"Journal of Endodontics","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cone beam computed tomography; Materials science; Computed tomography; Fracture (geology); Cone (formal languages); Beam (structure); Orthodontics; Medicine; Optics; Composite material; Radiology; Physics; Computer science","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":[0.0003408925,0.0001395765,0.0003979332,0.0003179458,0.00009668047,0.0001477285,0.0003638953,0.00009415815,0.00001803499],"category_scores_gemma":[0.0001731189,0.0001102825,0.0001278324,0.0001605264,0.0002363167,0.0006073637,0.00004041382,0.0003763013,0.000001897166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003044395,"about_ca_system_score_gemma":0.00004406097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000127958,"about_ca_topic_score_gemma":0.0002688392,"domain_scores_codex":[0.9986287,0.00006139016,0.0006014989,0.0001147305,0.0003892831,0.0002043704],"domain_scores_gemma":[0.9986805,0.00007535778,0.0006418723,0.0002620168,0.0002402084,0.0001000528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000790154,0.0002381182,0.6479407,0.00008131767,0.0002095965,0.000992442,0.0001588986,0.001508299,0.3468248,0.00007073196,0.00006903612,0.001115886],"study_design_scores_gemma":[0.001069147,0.0001853507,0.6593214,0.000213357,0.00004748111,0.0005334264,0.00004198399,0.00003701918,0.3382682,0.00008456398,0.0001142684,0.00008380498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976403,0.0001137793,0.001567897,0.00004012069,0.0004519441,0.00007662917,0.00001177529,0.000006877987,0.0000907307],"genre_scores_gemma":[0.9994003,0.00001098404,0.0003808874,0.00004673571,0.0001422843,7.525015e-7,0.000001075709,0.00001332241,0.000003695389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138067,"threshold_uncertainty_score":0.449719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008022620306564292,"score_gpt":0.2473891599847223,"score_spread":0.239366539678158,"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."}}