{"id":"W3021151170","doi":"10.1016/j.joen.2020.03.020","title":"Preferred Reporting Items for Epidemiologic Cross-sectional Studies on Root and Root Canal Anatomy Using Cone-beam Computed Tomographic Technology: A Systematized Assessment","year":2020,"lang":"en","type":"review","venue":"Journal of Endodontics","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computed tomographic; Cone beam computed tomography; Root canal; Root (linguistics); Medicine; Dentistry; Computed tomography; Orthodontics; Medical physics; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00400055,0.000661911,0.004725416,0.00153942,0.000383934,0.0003004257,0.0004645865,0.0004805452,0.000002971656],"category_scores_gemma":[0.004653309,0.0005020945,0.001707991,0.001134171,0.000287415,0.0002300987,0.0001859637,0.001484557,8.223865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004966573,"about_ca_system_score_gemma":0.0004028921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001225822,"about_ca_topic_score_gemma":0.00003052868,"domain_scores_codex":[0.9917991,0.0004279683,0.006054597,0.0005955964,0.000636377,0.0004863853],"domain_scores_gemma":[0.9821672,0.001726058,0.01476489,0.0003250363,0.0008071672,0.0002096521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003031484,0.00054376,0.831116,0.09887672,0.02600515,0.00595881,0.0001201009,0.0007625038,0.00008754458,0.002628209,0.001685446,0.03191258],"study_design_scores_gemma":[0.0171874,0.004642406,0.101399,0.2647103,0.02956103,0.1665487,0.00229545,0.01371777,0.0001106445,0.005442025,0.3882912,0.006094056],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04787729,0.943884,0.003220885,0.00003922091,0.003531114,0.001223313,0.0001193249,0.00007423067,0.00003066352],"genre_scores_gemma":[0.2260254,0.7576378,0.01422641,0.00006360901,0.001620679,0.0001199216,0.00007631756,0.0001833678,0.00004645961],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.729717,"threshold_uncertainty_score":0.999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804837801532144,"score_gpt":0.4652620676838649,"score_spread":0.2847782875306505,"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."}}