{"id":"W4320022447","doi":"10.2196/43522","title":"Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"App store; Mobile apps; Internet privacy; mHealth; Quality (philosophy); Breast cancer; Medicine; World Wide Web; Computer science; Cancer; Nursing; Psychological intervention","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1140668,0.00113245,0.003362489,0.044565,0.001549105,0.003521855,0.001834073,0.0008969376,0.001841177],"category_scores_gemma":[0.2674558,0.0008572576,0.006740499,0.02352395,0.001802563,0.004083611,0.005850014,0.001028156,0.0003768232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005482573,"about_ca_system_score_gemma":0.01377368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00397317,"about_ca_topic_score_gemma":0.007609362,"domain_scores_codex":[0.9104616,0.03772113,0.02919562,0.002990926,0.01851577,0.001115006],"domain_scores_gemma":[0.6322448,0.2516338,0.04842139,0.007780244,0.05850418,0.001415533],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001043463,0.0005972369,0.1853533,0.1945669,0.004313167,0.0005925312,0.03023129,0.001024325,0.002038647,0.002737097,0.009673098,0.567829],"study_design_scores_gemma":[0.001450297,0.003432459,0.6088687,0.2158575,0.02371802,0.002012254,0.03914483,0.01379621,0.006424035,0.00784615,0.07660741,0.0008422238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775253,0.1379307,0.07001185,0.00727733,0.0005565241,0.1547865,0.03820445,0.001025792,0.01268159],"genre_scores_gemma":[0.6292713,0.04280968,0.1805628,0.001336293,0.0002852301,0.13295,0.01153795,0.0001974861,0.001049184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8859332,"threshold_uncertainty_score":0.60325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410062121411768,"score_gpt":0.5610899405409844,"score_spread":0.3200837283998076,"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."}}