{"id":"W3199934193","doi":"10.2196/32921","title":"Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research","keywords":"Usability; Early childhood caries; Protocol (science); Medicine; Smartphone app; Medical education; Oral health; Internet privacy; Computer science; Family medicine; Alternative medicine","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":[0.04686544,0.003292753,0.003396133,0.002866435,0.004218712,0.003038423,0.002828839,0.004766205,0.03072087],"category_scores_gemma":[0.04796487,0.002703322,0.004463703,0.001695332,0.003203887,0.002482404,0.00259983,0.006105347,0.00686646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005009049,"about_ca_system_score_gemma":0.01982846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625097,"about_ca_topic_score_gemma":0.006961396,"domain_scores_codex":[0.9786534,0.01086951,0.003990807,0.001841102,0.002814255,0.001830798],"domain_scores_gemma":[0.9685321,0.01073158,0.0027981,0.003839793,0.01243496,0.001663416],"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":[0.06728331,0.1091841,0.01183169,0.09555476,0.001096623,0.003760429,0.04816078,0.008386107,0.02757479,0.01948763,0.08778872,0.519891],"study_design_scores_gemma":[0.115083,0.1525309,0.05410223,0.037519,0.001729293,0.00101427,0.02887046,0.006958658,0.01898422,0.01746459,0.5643915,0.00135186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00367435,0.0001109562,0.00265833,0.0001160901,0.00008060236,0.9922463,0.0003555689,0.0000485448,0.0007092403],"genre_scores_gemma":[0.001106388,0.00006759292,0.003636977,0.00006654512,0.0000077427,0.9948555,0.00004670323,0.000003433997,0.0002090526],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04686544,"threshold_uncertainty_score":0.2478511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4540520892783428,"score_gpt":0.608424481931241,"score_spread":0.1543723926528981,"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."}}