{"id":"W4296173841","doi":"10.2196/38793","title":"Quality of Mobile Apps for Child Development Support: Search in App Stores and Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Mobile apps; App store; Internet privacy; Content analysis; The Internet; Quality (philosophy); Promotion (chess); Psychology; mHealth; World Wide Web; Computer science; Political science; Psychological intervention; Sociology","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":[0.0125807,0.0004351773,0.0008985333,0.01791476,0.0007999406,0.004804862,0.0005991505,0.0005391439,0.002747829],"category_scores_gemma":[0.07278788,0.0004214925,0.001069351,0.01163746,0.0007691507,0.005997378,0.002444013,0.0007385802,0.0004358609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484065,"about_ca_system_score_gemma":0.002655654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191771,"about_ca_topic_score_gemma":0.006466675,"domain_scores_codex":[0.9932355,0.002817599,0.001295114,0.0004958714,0.001952371,0.0002035423],"domain_scores_gemma":[0.8838435,0.09147751,0.01134987,0.001874934,0.01086238,0.0005918638],"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":[0.0003804998,0.000155368,0.1591933,0.02832073,0.0006197607,0.0004301698,0.04520075,0.0002222121,0.001851744,0.00416275,0.01069415,0.7487686],"study_design_scores_gemma":[0.0001066733,0.0007354973,0.6154447,0.09422685,0.002646219,0.002445296,0.09076183,0.003457504,0.004381351,0.006251791,0.1792594,0.0002829274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7748637,0.1575019,0.010485,0.007780232,0.0003158936,0.002906211,0.01419985,0.0004822354,0.03146499],"genre_scores_gemma":[0.8856388,0.07142596,0.03121567,0.001226966,0.0001921245,0.001900004,0.005314787,0.000245354,0.0028402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01791476,"threshold_uncertainty_score":0.06653386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288228114877491,"score_gpt":0.458351530454319,"score_spread":0.32952871896657,"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."}}