{"id":"W2890904488","doi":"10.2196/11432","title":"Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research","keywords":"Usability; mHealth; Psychological intervention; Mobile phone; Health promotion; Medicine; Internet privacy; Public health; Nursing; Computer science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00582708,0.0004660203,0.001807033,0.0003441934,0.003859942,0.00002071098,0.0002380949,0.0003179487,0.000338342],"category_scores_gemma":[0.0003939558,0.000406474,0.0001590297,0.001342747,0.0004565346,0.0001588728,0.0001323782,0.0008224296,0.000078434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393739,"about_ca_system_score_gemma":0.002817887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303559,"about_ca_topic_score_gemma":0.002235318,"domain_scores_codex":[0.9923379,0.001268977,0.002583537,0.001314249,0.0003687144,0.002126592],"domain_scores_gemma":[0.9932377,0.0007439936,0.001306885,0.0009835385,0.000796636,0.002931206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009011221,0.001711769,0.1414059,0.2244316,0.0003019539,0.000001307397,0.004065698,9.651852e-7,0.000005418695,0.03382697,0.1901942,0.403153],"study_design_scores_gemma":[0.00418022,0.006831164,0.2290272,0.00159324,0.001528937,0.00001813279,0.001149666,0.0008838524,0.000001154601,0.003445596,0.7506372,0.0007036102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3619869,0.2929747,0.02712815,0.153032,0.002883428,0.1529884,0.003436981,0.001734314,0.003835102],"genre_scores_gemma":[0.6855731,0.1515094,0.008004687,0.08212273,0.001214502,0.06862823,0.0007705006,0.000122534,0.002054263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.560443,"threshold_uncertainty_score":0.9998387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204559708792164,"score_gpt":0.5258168549022022,"score_spread":0.3053608840229858,"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."}}