{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01299379,0.001316792,0.005484669,0.04471316,0.000894825,0.002142612,0.001588528,0.001022157,0.003706605],"category_scores_gemma":[0.05592792,0.000799954,0.004985805,0.03336357,0.00117761,0.002871574,0.003053328,0.0008484999,0.0005459519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638041,"about_ca_system_score_gemma":0.01139058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007648426,"about_ca_topic_score_gemma":0.01848752,"domain_scores_codex":[0.985431,0.003456427,0.007336924,0.0009465293,0.002431685,0.0003973995],"domain_scores_gemma":[0.9277725,0.05656645,0.008934883,0.001188278,0.0050804,0.0004575919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003654399,0.00004886017,0.008180476,0.9174959,0.00407997,0.0003977518,0.003218987,0.0001396929,0.0006203319,0.0004670434,0.00319301,0.06179266],"study_design_scores_gemma":[0.0002395456,0.000399148,0.03853454,0.8869267,0.03125793,0.0009558011,0.004639049,0.0003576735,0.0007755912,0.0007436658,0.03505913,0.0001110948],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07189717,0.8558308,0.004269997,0.001338654,0.0002803542,0.01543727,0.04673222,0.0001712932,0.004042232],"genre_scores_gemma":[0.1852854,0.7396751,0.01701423,0.001684338,0.0001917766,0.03208273,0.0224038,0.000125166,0.001537531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04471316,"threshold_uncertainty_score":0.06871849,"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."}}