{"id":"W4321512821","doi":"10.2196/42044","title":"Categorization and Analysis of Primary Care mHealth Apps Related to Breast Health and Breast Cancer: Systematic Search in App Stores and Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Categorization; Breast cancer; mHealth; Inclusion (mineral); Descriptive statistics; Medicine; Content analysis; Health care; Inclusion and exclusion criteria; Internet privacy; Family medicine; Cancer; Computer science; Psychology; Alternative medicine; Nursing; Psychological intervention; Artificial intelligence; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.001224898,0.0002223192,0.001395187,0.001820124,0.0005581229,0.0000131422,0.0001109341,0.0001919486,0.00004758808],"category_scores_gemma":[0.00002441867,0.0001970649,0.00006824346,0.006475606,0.00008199814,0.00008966376,0.0001227959,0.0003960315,0.00000504884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011178,"about_ca_system_score_gemma":0.00174329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03849238,"about_ca_topic_score_gemma":0.03250087,"domain_scores_codex":[0.9961532,0.0006953451,0.001378059,0.000642834,0.0003782149,0.0007523783],"domain_scores_gemma":[0.9974288,0.0003425709,0.0005464426,0.0004041833,0.0003820546,0.0008958847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448127,0.00003744325,0.9085803,0.05395574,0.0004819692,9.102275e-7,0.01704553,0.0006392151,0.00002383948,0.000579946,0.0003456377,0.01816464],"study_design_scores_gemma":[0.0008220689,0.0000544761,0.9803591,0.001963259,0.000620647,0.00000167359,0.0115682,0.004304071,3.760081e-7,0.00001066033,0.0001512325,0.0001442401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674555,0.01419287,0.0001122532,0.00759995,0.0001128863,0.008374602,0.001967049,0.0001151021,0.00006981182],"genre_scores_gemma":[0.9656813,0.01810351,0.00004608371,0.001380662,0.00004152791,0.01383364,0.0006151054,0.00003171432,0.000266467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07177878,"threshold_uncertainty_score":0.9851535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05965758610329819,"score_gpt":0.4369176773487221,"score_spread":0.3772600912454239,"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."}}