{"id":"W2485583722","doi":"10.2196/mhealth.5115","title":"Mobile Apps for Weight Management: A Scoping Review","year":2016,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Weight management; Overweight; Weight loss; Pace; Mobile apps; Obesity; Intervention (counseling); mHealth; Medicine; Public health; Internet privacy; Business; Computer science; Gerontology; Psychological intervention; Nursing; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004142188,0.001144011,0.005027963,0.0006249095,0.003124608,0.000019134,0.0007029526,0.001151539,0.0004830451],"category_scores_gemma":[0.0001370277,0.0008353064,0.0005609204,0.0008894327,0.0001580988,0.0001593588,0.0003160375,0.001666819,0.001178627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009302553,"about_ca_system_score_gemma":0.007426942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003060293,"about_ca_topic_score_gemma":0.00004053145,"domain_scores_codex":[0.9876185,0.001477748,0.005055895,0.001924426,0.0005179639,0.003405445],"domain_scores_gemma":[0.9896582,0.002227368,0.003343361,0.001710996,0.0002939004,0.002766111],"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":[0.00001733912,0.00004107176,0.000001875267,0.4730194,0.00001993812,0.000001381693,0.00003462104,1.831017e-9,1.038739e-9,0.005205605,0.03895081,0.4827079],"study_design_scores_gemma":[0.0007916725,0.0001566531,0.00000190421,0.4286379,0.0005206259,0.00001242288,0.00002342111,6.318295e-7,2.199164e-9,0.0002966947,0.5692027,0.0003554069],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.91006e-7,0.8951936,0.0004920334,0.0009406572,0.001222308,0.0951626,0.000772319,0.0003786991,0.005837532],"genre_scores_gemma":[2.194421e-7,0.7113736,0.001098808,0.007493439,0.001145967,0.2747355,0.0005603217,0.0002101796,0.003381944],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5302519,"threshold_uncertainty_score":0.9995991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437539221824994,"score_gpt":0.5445536155616851,"score_spread":0.4007996933791858,"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."}}