{"id":"W4210329099","doi":"10.2196/preprints.11919","title":"Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Android (operating system); Mobile phone; Computer science; World Wide Web; Phone; Mobile apps; App store; Internet privacy; mHealth; Content analysis; Psychological intervention; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1725346,0.0007274724,0.002390517,0.02563086,0.001266138,0.003945322,0.001248793,0.0008380162,0.002061744],"category_scores_gemma":[0.4532946,0.0007643139,0.003028533,0.0240426,0.001078247,0.003546209,0.003176827,0.0006974782,0.0005709077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005721348,"about_ca_system_score_gemma":0.01037045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003706534,"about_ca_topic_score_gemma":0.0064191,"domain_scores_codex":[0.7668497,0.1377429,0.05688646,0.0049647,0.03166279,0.001893414],"domain_scores_gemma":[0.4019904,0.4121209,0.05893744,0.01484563,0.1107699,0.001335719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001583934,0.0003818028,0.1553654,0.1213895,0.003371024,0.0005903596,0.1146569,0.0008250094,0.0051686,0.002155712,0.03178903,0.5627227],"study_design_scores_gemma":[0.0007181956,0.003195402,0.6079785,0.1396212,0.007600012,0.001310091,0.06528984,0.007081086,0.01021996,0.002562663,0.1537525,0.0006706773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7275117,0.07839019,0.0599264,0.01003411,0.001489267,0.07236867,0.03529769,0.001281068,0.01370088],"genre_scores_gemma":[0.7429035,0.02468618,0.126663,0.002343579,0.0004898914,0.09015868,0.009627767,0.0004045092,0.002722846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1725346,"threshold_uncertainty_score":0.9124611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2423002360783922,"score_gpt":0.5373261124774996,"score_spread":0.2950258763991074,"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."}}