{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004592501,0.0005134912,0.004104754,0.0001874024,0.001000175,0.00005369516,0.0001296047,0.000295615,0.0004536289],"category_scores_gemma":[0.001194398,0.000374546,0.0004680231,0.0004849869,0.0006105714,0.0001877307,0.00005190751,0.0009581104,0.00009640252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300392,"about_ca_system_score_gemma":0.002186905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522505,"about_ca_topic_score_gemma":0.00006812998,"domain_scores_codex":[0.9930723,0.002499234,0.001524762,0.000819502,0.0009340894,0.001150118],"domain_scores_gemma":[0.9950013,0.002116262,0.001056499,0.0003987079,0.0004292158,0.0009979974],"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":[0.9884248,0.001927176,0.00005408385,0.00149667,0.0001723654,0.000008503937,0.002408422,0.000012692,0.0003077064,0.0002442471,0.0009928191,0.003950507],"study_design_scores_gemma":[0.7387673,0.008749168,0.0001622818,0.0002153506,0.0005394421,0.00001481781,0.0001748128,0.2496472,0.00003720868,0.0001365443,0.001317161,0.0002386274],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976711,0.002293847,0.0009182355,0.002887668,0.00041286,0.01465459,0.00004228051,0.0009524984,0.001127016],"genre_scores_gemma":[0.9859049,0.0008159532,0.003623486,0.005130935,0.001229596,0.002318327,0.0001691218,0.00007013376,0.0007374916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2496575,"threshold_uncertainty_score":0.9998707,"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."}}