{"id":"W2746005459","doi":"10.1136/eb-2017-102775","title":"Mobile phone messaging delivering encouragement, reminders and education increases patient compliance with recommended exercise and results in positive short-term health behaviours","year":2017,"lang":"en","type":"letter","venue":"Evidence-Based Nursing","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mobile phone; Compliance (psychology); Term (time); Text messaging; Phone; Psychology; mHealth; Patient compliance; Applied psychology; Medicine; Multimedia; Internet privacy; Computer science; Nursing; Family medicine; Social psychology; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004634379,0.0009850125,0.001594507,0.0008859539,0.003134992,0.002271735,0.002654481,0.03499085,0.0141513],"category_scores_gemma":[0.06097126,0.0005274983,0.001673333,0.0008916321,0.00193297,0.002248668,0.001086672,0.02660913,0.01112952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004313377,"about_ca_system_score_gemma":0.006035473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372337,"about_ca_topic_score_gemma":0.01980305,"domain_scores_codex":[0.9953079,0.001848274,0.0005743816,0.0003862091,0.001520647,0.0003625971],"domain_scores_gemma":[0.9704344,0.02063532,0.00142841,0.0003164721,0.006081006,0.001104414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000978308,0.00002683342,0.0001508549,0.0003575922,0.00002315178,0.0003168736,0.0001301359,0.0000199034,0.00005939632,0.0006088262,0.9896175,0.008591085],"study_design_scores_gemma":[0.0005206917,0.0003329377,0.001797273,0.004960319,0.0001621674,0.0008150127,0.000946013,0.0003374246,0.0004368206,0.003767241,0.9858351,0.00008887483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.000249896,0.003164369,0.0000531575,0.959498,0.03327806,0.00002999915,0.0001353245,0.0000235053,0.003567775],"genre_scores_gemma":[0.002931201,0.003887238,0.0001120932,0.93198,0.05383049,0.0001051531,0.00006627989,0.00002071612,0.00706696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03499085,"threshold_uncertainty_score":0.04734081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08644359644848577,"score_gpt":0.4237844171363516,"score_spread":0.3373408206878658,"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."}}