{"id":"W3048594568","doi":"10.2196/19958","title":"Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation","year":2020,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Oral hygiene; App store; Population; Mobile apps; Dentistry; Computer science; Environmental health; World Wide Web","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":[0.009824379,0.0007776992,0.004285163,0.0003684343,0.003153051,0.00005344337,0.0003356742,0.00107748,0.00008173534],"category_scores_gemma":[0.000593834,0.0006575912,0.0003178967,0.0006491484,0.0001877663,0.0001619457,0.0002254505,0.001847805,0.0001293316],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228866,"about_ca_system_score_gemma":0.01260116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004281687,"about_ca_topic_score_gemma":0.0005350168,"domain_scores_codex":[0.9858238,0.005682934,0.004406001,0.001461984,0.0008758372,0.001749427],"domain_scores_gemma":[0.991334,0.002798097,0.0020909,0.0008573777,0.000538356,0.002381293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000490727,0.00005892379,0.00005893521,0.5997426,0.00002936727,3.158749e-7,0.0009403043,1.220147e-7,1.384984e-8,0.004509045,0.001085463,0.3935259],"study_design_scores_gemma":[0.001776,0.0007100153,0.0001576894,0.05277068,0.001564928,0.00002169347,0.002462091,0.0002356266,1.93085e-8,0.0004682572,0.9393487,0.0004843127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002341864,0.9184296,0.0003362195,0.0003695669,0.0006476763,0.07877433,0.0007030311,0.0001939245,0.0003115016],"genre_scores_gemma":[0.0003057813,0.8194483,0.0006750148,0.0009199004,0.000769229,0.1761549,0.001104921,0.0001164408,0.0005055318],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9382632,"threshold_uncertainty_score":0.9995875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3855525973170916,"score_gpt":0.6171477713591249,"score_spread":0.2315951740420333,"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."}}