{"id":"W1969431122","doi":"10.2196/mhealth.4026","title":"mHealthApps: A Repository and Database of Mobile Health Apps","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; University of Texas Health Science Center at Houston","keywords":"mHealth; App store; World Wide Web; Computer science; JavaScript; Android (operating system); Mobile apps; Internet privacy; Multimedia; Database; Health care","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00521617,0.0004782085,0.00135716,0.000442186,0.001907831,0.00001502362,0.0002953902,0.0004157033,0.00003936673],"category_scores_gemma":[0.000183561,0.0004474935,0.0000649379,0.0007142517,0.0003943892,0.0002739921,0.000275283,0.001441544,0.00005581244],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569331,"about_ca_system_score_gemma":0.009731769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005735783,"about_ca_topic_score_gemma":0.0004561558,"domain_scores_codex":[0.99161,0.001572045,0.002947096,0.001086888,0.0006787346,0.002105252],"domain_scores_gemma":[0.9902086,0.0007586434,0.001898152,0.001102113,0.0004811045,0.005551392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002537508,0.001851377,0.1947329,0.09542341,0.00006995125,0.0000219288,0.03366965,0.00001389558,0.0001042368,0.08577621,0.2271737,0.3586252],"study_design_scores_gemma":[0.01239602,0.006821233,0.07746658,0.002633115,0.0001367298,0.0002025756,0.02767662,0.001079416,0.00002241424,0.003470725,0.8669738,0.001120746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8639708,0.0835771,0.0009897525,0.0122658,0.00205721,0.02524594,0.0006984232,0.0007056071,0.01048935],"genre_scores_gemma":[0.9308416,0.02924202,0.00477614,0.01388968,0.0009527613,0.01892368,0.0002593612,0.0001219751,0.0009927804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6398001,"threshold_uncertainty_score":0.9997977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113234089533439,"score_gpt":0.4783022808840424,"score_spread":0.3650681913506034,"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."}}