{"id":"W2785014992","doi":"10.2196/mhealth.9117","title":"Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Nursing Research; Center for Information Technology Research in the Interest of Society; National Heart, Lung, and Blood Institute; Philippine-California Advanced Research Institutes; National Institutes of Health","keywords":"Randomized controlled trial; mHealth; Session (web analytics); Mobile phone; Phone; Intervention (counseling); Physical therapy; Medicine; Demographics; Computer science; Psychology; Psychological intervention; Nursing; World Wide Web; Surgery","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":[0.005956112,0.002181113,0.004592554,0.0008648352,0.0008853029,0.001649158,0.001548501,0.003224143,0.008725627],"category_scores_gemma":[0.009955059,0.001082755,0.003389039,0.0007652722,0.001447661,0.001634526,0.0008263214,0.002984036,0.001161902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275802,"about_ca_system_score_gemma":0.002353544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00209023,"about_ca_topic_score_gemma":0.002619311,"domain_scores_codex":[0.9961617,0.002158801,0.0004518892,0.0005864314,0.0003371889,0.0003040241],"domain_scores_gemma":[0.9959585,0.002015671,0.0008584965,0.0002554226,0.0004155042,0.000496306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.958883,0.01729465,0.0005684561,0.00385814,0.00255306,0.00004039133,0.00009211493,0.0003261278,0.0007227929,0.0001455291,0.0005826792,0.0149331],"study_design_scores_gemma":[0.943481,0.05304641,0.0009224961,0.0002318433,0.00117141,0.000009379647,0.00002719293,0.0004027443,0.0001936787,0.0001189013,0.000380993,0.0000140337],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811858,0.01150346,0.003751645,0.001539511,0.002393794,0.09304867,0.001874269,0.0004729759,0.004229865],"genre_scores_gemma":[0.8672078,0.004500675,0.009602807,0.001301368,0.0008257519,0.1128292,0.0007285856,0.00003683281,0.002967001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008725627,"threshold_uncertainty_score":0.03149933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08042252672747538,"score_gpt":0.4425863988591617,"score_spread":0.3621638721316863,"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."}}