{"id":"W2889020646","doi":"10.2196/11882","title":"Use of Featforward Mobile Phone App Associated with Decreased Cardiometabolic Risk Factors in Patients with Chronic Conditions","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Chronic disease; Physical activity; Mobile phone; Environmental health; Disease; Mobile apps; Phone; Gerontology; Physical therapy; Internal medicine; Computer science; World Wide Web; Telecommunications","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":[0.001057664,0.0003662031,0.0009813706,0.0003105222,0.0004666279,0.0007187387,0.0002303848,0.001001008,0.005498338],"category_scores_gemma":[0.004563048,0.000222501,0.001296987,0.0003200071,0.0002571633,0.0006114061,0.0003765892,0.001186826,0.0003205586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237143,"about_ca_system_score_gemma":0.0006924761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592685,"about_ca_topic_score_gemma":0.002810338,"domain_scores_codex":[0.9993839,0.0002330568,0.00007359358,0.0001271595,0.00007752555,0.0001047074],"domain_scores_gemma":[0.9984167,0.0006483358,0.0004146942,0.00006863861,0.0001523994,0.0002993064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.3292728,0.04283109,0.35348,0.005952714,0.004122719,0.0002232052,0.00109123,0.0003460229,0.004526571,0.0002563417,0.006927487,0.2509698],"study_design_scores_gemma":[0.04626384,0.105318,0.833424,0.0009407932,0.005177865,0.0002542409,0.0006234462,0.001055077,0.0008925861,0.0002967574,0.005649256,0.0001041417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936851,0.003328539,0.000143819,0.0003818218,0.0001931586,0.0004224474,0.0003942526,0.00002205199,0.001428771],"genre_scores_gemma":[0.9956998,0.001330007,0.0007416349,0.000389504,0.0001891781,0.0006506674,0.0002775365,0.000003665362,0.0007181727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005498338,"threshold_uncertainty_score":0.01839381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279345108139963,"score_gpt":0.337209958327324,"score_spread":0.3092754475133278,"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."}}