{"id":"W1562431544","doi":"10.2196/mhealth.4150","title":"Integrating mHealth and Systems Science: A Combination Approach to Prevent and Treat Chronic Health Conditions","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Chronic disease; Global health; Medicine; Risk analysis (engineering); Computer science; Data science; Public health; Intensive care medicine; 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":[0.01346738,0.002243659,0.002787138,0.006550997,0.001299221,0.009052843,0.002179871,0.002601281,0.006795472],"category_scores_gemma":[0.01385804,0.0007590225,0.002473311,0.004068389,0.00205725,0.008154544,0.007777352,0.004403252,0.001331608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032842,"about_ca_system_score_gemma":0.01065536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266176,"about_ca_topic_score_gemma":0.009367662,"domain_scores_codex":[0.9910086,0.005597009,0.0005188995,0.0006249255,0.001971903,0.0002787124],"domain_scores_gemma":[0.9901342,0.006422965,0.0006045556,0.0008114798,0.001362597,0.0006642483],"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":[0.0001978282,0.000920762,0.01123501,0.008682256,0.00322671,0.0003489936,0.002796883,0.01684703,0.002779311,0.1288978,0.04327964,0.7807878],"study_design_scores_gemma":[0.0003180795,0.001571512,0.01327145,0.01066869,0.002550671,0.0007418859,0.007731952,0.06330466,0.003332835,0.6473126,0.248775,0.0004207744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01339625,0.1126708,0.6272336,0.1608732,0.003482926,0.001656453,0.001286484,0.002816087,0.07658422],"genre_scores_gemma":[0.2438674,0.1014826,0.628559,0.01321986,0.003031577,0.001861343,0.0009789434,0.0002523,0.006747023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01346738,"threshold_uncertainty_score":0.0712232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145341658424077,"score_gpt":0.4818973626072796,"score_spread":0.3673631967648718,"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."}}