{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004372596,0.0002746098,0.0006273423,0.0004131632,0.0008778988,0.00001176975,0.000180389,0.0002547734,0.0002345838],"category_scores_gemma":[0.0004185417,0.0002077253,0.00005474071,0.001601825,0.0002819366,0.0003340538,0.00004919897,0.0006116953,0.00007630128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522953,"about_ca_system_score_gemma":0.00101382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003876769,"about_ca_topic_score_gemma":0.001832936,"domain_scores_codex":[0.9973233,0.00009971306,0.0007438898,0.0004621362,0.0004523994,0.0009185584],"domain_scores_gemma":[0.9968023,0.0004329792,0.0008585294,0.0003210573,0.00110435,0.0004807716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002285689,0.0002762027,0.9944623,0.000161869,0.0000592224,1.97161e-7,0.001173417,0.00001225993,0.00004512558,0.0001883857,0.002596045,0.0007963876],"study_design_scores_gemma":[0.003867281,0.0008630058,0.9783923,0.0003750808,0.0001026337,1.843636e-7,0.0005498601,0.0000675217,0.000158889,0.00004902288,0.01535436,0.0002198259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993783,0.00004577151,0.00007808061,0.00003774501,0.0001250651,0.004498056,0.0005542207,0.0001550573,0.0007230135],"genre_scores_gemma":[0.9939265,0.00008956192,0.0002110552,0.0002150726,0.0001345316,0.004820316,0.0003449572,0.00006113314,0.0001968679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606999,"threshold_uncertainty_score":0.847079,"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."}}