{"id":"W2207674086","doi":"10.2196/mhealth.4334","title":"The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council","keywords":"Smartphone app; Quality (philosophy); Computer science; Smartphone application; Internet privacy; Mobile apps; mHealth; Multimedia; Medicine; World Wide Web; Psychological intervention; Nursing","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":[0.009252538,0.0004164066,0.0008039185,0.00014668,0.005761097,0.00003791345,0.0004204425,0.0004433439,0.00003358287],"category_scores_gemma":[0.000562369,0.0003002531,0.00009766992,0.0005899496,0.0002439287,0.0001598282,0.0001551962,0.001342144,0.000124976],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000956765,"about_ca_system_score_gemma":0.00838008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169898,"about_ca_topic_score_gemma":0.001784953,"domain_scores_codex":[0.9921408,0.001506486,0.002336512,0.0008580722,0.0006738909,0.002484234],"domain_scores_gemma":[0.9916732,0.00182286,0.001170116,0.001121497,0.0007315055,0.003480817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001420136,0.0004305678,0.1078028,0.007159448,0.00003088207,0.000002241373,0.002502641,0.000002616059,0.000005346612,0.3598786,0.3623658,0.1583988],"study_design_scores_gemma":[0.00426464,0.0004091216,0.08591878,0.0001052987,0.00003867501,0.000006213132,0.002241772,0.0003193093,7.038243e-7,0.0140746,0.8923552,0.0002656606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5553694,0.02728167,0.01432847,0.3125357,0.009965618,0.05846341,0.001384523,0.001433446,0.01923772],"genre_scores_gemma":[0.8236153,0.0237957,0.008582939,0.04760481,0.003659504,0.08525595,0.0007997479,0.0002231702,0.0064629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5299894,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1689870679774348,"score_gpt":0.5267355024462279,"score_spread":0.3577484344687931,"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."}}