{"id":"W2404714905","doi":"10.2196/resprot.5497","title":"Development of ‘Twazon’: An Arabic App for Weight Loss","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Overweight; Weight loss; Psychological intervention; Arabic; Population; Weight management; Best practice; Public relations; Obesity; Internet privacy; Public health; Medicine; Psychology; Gerontology; Medical education; Environmental health; Political science; Computer science; Nursing; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005594549,0.0001711768,0.0003542112,0.0002954225,0.001529414,0.000007648579,0.0006213764,0.0002982791,0.0007872834],"category_scores_gemma":[0.0004096047,0.0001111455,0.00005656217,0.0004463049,0.0002113911,0.0001914713,0.0001900977,0.0005757311,0.0007235908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003475,"about_ca_system_score_gemma":0.004508615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723853,"about_ca_topic_score_gemma":0.0001322212,"domain_scores_codex":[0.9950376,0.0008283905,0.001218362,0.0005572934,0.0007336569,0.001624748],"domain_scores_gemma":[0.9952623,0.001366005,0.0003206848,0.0009365883,0.00124586,0.000868622],"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":[0.00249693,0.001730177,0.0207629,0.01224417,0.00002247941,0.000001886002,0.002827843,1.477436e-7,0.01684321,0.08940837,0.1121912,0.7414707],"study_design_scores_gemma":[0.00306776,0.0004482207,0.006626776,0.002047148,6.592653e-7,4.475793e-7,0.0001578161,0.000007729021,0.00208527,0.003565211,0.9818668,0.0001261192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.005252779,0.000006315215,0.005285951,0.003191954,0.00002668134,0.9830212,0.00008203616,0.0001494024,0.002983686],"genre_scores_gemma":[0.003047023,0.000006455959,0.01314406,0.0002005201,0.0003959619,0.9785071,0.00002284142,0.00005044237,0.004625603],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8696757,"threshold_uncertainty_score":0.9997705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4116580817567932,"score_gpt":0.663861279750328,"score_spread":0.2522031979935349,"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."}}