{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02968653,0.0005169896,0.001342423,0.009309867,0.0008734126,0.002003294,0.0009077827,0.0005990752,0.0014156],"category_scores_gemma":[0.09389152,0.000400872,0.003049467,0.007149985,0.0006203449,0.00204187,0.002049571,0.0007525116,0.0003874107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164905,"about_ca_system_score_gemma":0.002060464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003103516,"about_ca_topic_score_gemma":0.006752434,"domain_scores_codex":[0.9772801,0.004439994,0.007555299,0.001009597,0.009289043,0.0004258745],"domain_scores_gemma":[0.8678862,0.04443106,0.03478209,0.003939498,0.04735936,0.001601854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001270602,0.0003594094,0.5501844,0.02024176,0.001150496,0.0001831716,0.005633642,0.0002287928,0.001567086,0.0005256186,0.00845952,0.4101955],"study_design_scores_gemma":[0.0002068896,0.001300943,0.9594734,0.01190427,0.001458312,0.0006032961,0.002480467,0.001525139,0.001480329,0.0005517203,0.01891179,0.0001034906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450878,0.07835608,0.01725377,0.007106789,0.0004121357,0.01360526,0.02684057,0.0005459213,0.01079174],"genre_scores_gemma":[0.8863281,0.02319444,0.06961106,0.001096275,0.0001864492,0.009883394,0.00826169,0.00009106068,0.001347438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02968653,"threshold_uncertainty_score":0.1569992,"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."}}