{"id":"W3049562116","doi":"10.1016/j.oooo.2020.08.007","title":"The use of radiographic imaging technologies by general dentists in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Oral Surgery Oral Medicine Oral Pathology and Oral Radiology","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Faculty of Dentistry, University of Toronto","keywords":"Medicine; Cone beam computed tomography; Endodontics; Medical physics; Medical imaging; Imaging technology; Radiography; Radiation treatment planning; Digital imaging; Radiation dose; Curriculum; Dentistry; Computed tomography; Radiology; Nuclear medicine; Radiation therapy; Digital image; Image processing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008994734,0.0005314673,0.001481766,0.0004136415,0.0003006649,0.00004776113,0.0004951444,0.0003008356,0.0001451096],"category_scores_gemma":[0.0008539827,0.0003919436,0.0002174354,0.001097707,0.00269621,0.0004203763,0.0002283789,0.001042403,0.00000474632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307007,"about_ca_system_score_gemma":0.0002359064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6390088,"about_ca_topic_score_gemma":0.8440319,"domain_scores_codex":[0.9958462,0.0007662889,0.001148143,0.0008375655,0.0003430846,0.001058693],"domain_scores_gemma":[0.9979284,0.0008924414,0.0004055017,0.0004351492,0.00008963101,0.0002488619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003268453,0.00003365391,0.8394419,0.00002647994,0.00007344646,0.003579746,0.000100479,0.000008742363,0.002500664,0.00024799,0.1301165,0.02354362],"study_design_scores_gemma":[0.002134002,0.0003543765,0.8570653,0.0001075364,0.0001770594,0.00451174,0.0006976779,0.0005455703,0.0005647357,0.0009427842,0.1320982,0.0008010112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819059,0.008549239,0.0001696256,0.006906855,0.001930112,0.0002990946,0.00005768665,0.0001319474,0.00004948682],"genre_scores_gemma":[0.9955798,0.0008130551,0.000492654,0.002635984,0.00006728031,0.00003091383,0.0001401663,0.00004031264,0.0001998048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050231,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936023366105587,"score_gpt":0.2467137601770454,"score_spread":0.2173535265159895,"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."}}