{"id":"W2895983283","doi":"10.2196/mhealth.9836","title":"Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight management; mHealth; Mobile phone; Quality (philosophy); Rating scale; Medicine; Psychology; Interquartile range; Gerontology; Applied psychology; Obesity; Weight loss; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008618297,0.0004215847,0.000732407,0.001537759,0.002349812,0.002047711,0.0005981287,0.0008258955,0.001531398],"category_scores_gemma":[0.01443819,0.0004822272,0.0006807626,0.0006514011,0.001016874,0.001353551,0.001551267,0.0009479054,0.0004083015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008622486,"about_ca_system_score_gemma":0.001473418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002891515,"about_ca_topic_score_gemma":0.005653552,"domain_scores_codex":[0.9967113,0.001586769,0.0003071152,0.0003474757,0.0006606907,0.0003865937],"domain_scores_gemma":[0.9851062,0.006018549,0.002840175,0.000582692,0.003666711,0.001785677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001043333,0.004801663,0.7286361,0.0007596973,0.0001847614,0.001039478,0.2229558,0.0001189475,0.004124547,0.00009687755,0.0007694404,0.03546929],"study_design_scores_gemma":[0.0001497271,0.009857622,0.6645484,0.0004339925,0.0002029393,0.001034005,0.3163626,0.001008461,0.002381326,0.0001176671,0.003745601,0.0001576458],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995294,0.00008170595,0.0001110982,0.00004251083,0.000002951104,0.00008561249,0.000029811,0.000002854362,0.0001140244],"genre_scores_gemma":[0.998414,0.0001760539,0.0006097942,0.0001893009,0.00001259239,0.0002351787,0.00005329817,0.000004745867,0.0003048926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008618297,"threshold_uncertainty_score":0.04557842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111756445387411,"score_gpt":0.4820484647277087,"score_spread":0.3708728201889677,"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."}}