{"id":"W3203626196","doi":"10.2196/32345","title":"Assessment of an Innovative Mobile Dentistry eHygiene Model Amid the COVID-19 Pandemic in the National Dental Practice–Based Research Network: Protocol for Design, Implementation, and Usability Testing","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Institutes of Health","keywords":"Usability; mHealth; Protocol (science); Medicine; Health care; Telemedicine; Population; Nursing; Computer science; Psychological intervention","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","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0532716,0.0002561082,0.0003157779,0.0003395702,0.001580301,0.0008937778,0.00132483,0.0001749581,0.0002501192],"category_scores_gemma":[0.01978444,0.0001830452,0.00007962691,0.003940491,0.001097318,0.0008366875,0.0008991114,0.001731858,0.00000624792],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606429,"about_ca_system_score_gemma":0.01200241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003330619,"about_ca_topic_score_gemma":0.001313153,"domain_scores_codex":[0.9814309,0.009818242,0.001052924,0.001009325,0.005199324,0.001489235],"domain_scores_gemma":[0.9714306,0.02137488,0.0003163202,0.0007819258,0.005738969,0.0003573057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01596968,0.01832292,0.6949192,0.009948888,0.0003226681,0.0009056761,0.003758798,0.05338846,0.06246111,0.02966017,0.09112406,0.01921833],"study_design_scores_gemma":[0.06528208,0.0164739,0.2133047,0.002143287,0.00002532411,0.001447767,0.05992715,0.325932,0.01052877,0.1620535,0.1409784,0.001903157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01879697,0.000002960943,0.01482593,0.0005162543,0.000006286995,0.965044,0.0002028253,0.00003733114,0.0005674979],"genre_scores_gemma":[0.07993007,2.02708e-7,0.01145191,0.0005587361,0.0001093153,0.9076951,0.00008444973,0.00003450172,0.0001356838],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.4816145,"threshold_uncertainty_score":0.9997195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7196497681317195,"score_gpt":0.7062856638433884,"score_spread":0.01336410428833112,"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."}}