{"id":"W4286495789","doi":"10.2196/39955","title":"Teledentistry Implementation During the COVID-19 Pandemic: Scoping Review","year":2022,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Telehealth; Pandemic; Telemedicine; Inclusion (mineral); Medicine; Systematic review; MEDLINE; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Health care; Medical education; Psychology; Political science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02117672,0.0001382528,0.0003606062,0.0003982983,0.001079177,0.0001922007,0.002036274,0.00006333282,0.06585413],"category_scores_gemma":[0.03402063,0.00009693595,0.0002720591,0.0008336265,0.0003020985,0.0003664083,0.001681114,0.004251753,0.000165916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355212,"about_ca_system_score_gemma":0.004198231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006448482,"about_ca_topic_score_gemma":0.0006289729,"domain_scores_codex":[0.9839697,0.003901105,0.0009911006,0.0002833932,0.01017152,0.0006832046],"domain_scores_gemma":[0.9905084,0.006862766,0.0004786185,0.0003437503,0.0005769727,0.001229544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005236907,0.001015929,0.09792934,0.01344692,0.001053218,0.0399962,0.002358003,0.00004144146,0.006611495,0.000808857,0.7177159,0.1137858],"study_design_scores_gemma":[0.02863711,0.004576017,0.04651408,0.04939472,0.0002717166,0.1798844,0.07881325,0.0002637337,0.003043444,0.01149541,0.5956044,0.001501727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392711,0.03036577,0.0011745,0.02510277,0.001445743,0.001467849,0.00007211027,0.0000300615,0.001070124],"genre_scores_gemma":[0.9811847,0.01213574,0.0000110615,0.004645116,0.0004452328,0.0001682542,0.00001139364,0.00002636107,0.001372202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1398882,"threshold_uncertainty_score":0.9980455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1962811444353643,"score_gpt":0.5957573779810301,"score_spread":0.3994762335456657,"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."}}