{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04418588,0.001776636,0.005410183,0.0375876,0.001875828,0.004507398,0.00301316,0.001534682,0.003966744],"category_scores_gemma":[0.1462653,0.001442264,0.006555611,0.02130188,0.001947113,0.004989674,0.003999452,0.001696737,0.0007619421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008028865,"about_ca_system_score_gemma":0.02650687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006042918,"about_ca_topic_score_gemma":0.02029578,"domain_scores_codex":[0.9613969,0.01607255,0.0121927,0.001019356,0.008658399,0.0006601048],"domain_scores_gemma":[0.8416984,0.111102,0.01479526,0.002542224,0.02891329,0.0009488246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0002438988,0.0001570296,0.001428497,0.6219649,0.001663522,0.0002440433,0.003801802,0.0003510268,0.0005451481,0.001617026,0.008916888,0.3590663],"study_design_scores_gemma":[0.0002492697,0.0004243237,0.005748683,0.9192852,0.009977184,0.0003818781,0.002986979,0.0006101289,0.0005488116,0.001436115,0.05823543,0.000115978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01237288,0.9054989,0.0107141,0.004100883,0.001003418,0.05632273,0.002997712,0.0002330954,0.006756335],"genre_scores_gemma":[0.04959962,0.8580171,0.04013614,0.002378662,0.0004052307,0.04661898,0.001525168,0.00008585465,0.001233184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04418588,"threshold_uncertainty_score":0.2336801,"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."}}