{"id":"W2472618036","doi":"10.2196/mhealth.5406","title":"Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Mobile phone; Popularity; World Wide Web; Computer science; mHealth; App store; Internet privacy; Phone; Multimedia; Medicine; Psychology; Nursing; Human–computer interaction; Telecommunications","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":[0.002102163,0.0004245595,0.001133497,0.0005030111,0.002292041,0.00001473553,0.0002102887,0.0004490513,0.0002243892],"category_scores_gemma":[0.000171514,0.0002942885,0.0001577569,0.0007798697,0.0002307007,0.0001795892,0.0001183602,0.0005198542,0.00009748701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723823,"about_ca_system_score_gemma":0.001155644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008106904,"about_ca_topic_score_gemma":0.0009115495,"domain_scores_codex":[0.9942526,0.000504956,0.001768524,0.001082707,0.000341436,0.00204975],"domain_scores_gemma":[0.994348,0.001132978,0.0008452587,0.0007719861,0.0003500987,0.002551634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005174453,0.0008189504,0.5013785,0.01777217,0.0003777672,0.000007211719,0.004087338,0.000001830883,0.000172132,0.06457508,0.0601087,0.3455259],"study_design_scores_gemma":[0.008056234,0.001420786,0.2000991,0.0003678321,0.0006470456,0.000008346355,0.001196808,0.0002591632,0.000007480154,0.003491197,0.7838985,0.000547488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313874,0.01166609,0.008439355,0.02940365,0.0007815066,0.01621243,0.001168019,0.0003893024,0.0005522751],"genre_scores_gemma":[0.9094562,0.03485527,0.001842267,0.009946454,0.0006808015,0.04060562,0.0001813291,0.00007965561,0.002352421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7237899,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016935011565455,"score_gpt":0.4506192058778196,"score_spread":0.3489257047212742,"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."}}