{"id":"W2994652297","doi":"10.2196/16391","title":"Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Heart, Lung, and Blood Institute; National Institutes of Health; Johns Hopkins University; American Heart Association","keywords":"mHealth; Psychological intervention; Scalability; eHealth; Computer science; Health care; Internet privacy; Medicine; Nursing; Database","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":[0.04156967,0.0007547325,0.0006916236,0.001391418,0.003070815,0.003771083,0.001266645,0.002294327,0.009425563],"category_scores_gemma":[0.07291186,0.001040921,0.001943051,0.001089555,0.001025743,0.005062587,0.002721425,0.002566576,0.002660094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821043,"about_ca_system_score_gemma":0.01466751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005516134,"about_ca_topic_score_gemma":0.007504445,"domain_scores_codex":[0.9768694,0.01248053,0.002902789,0.001793398,0.002917095,0.00303672],"domain_scores_gemma":[0.9662399,0.01145341,0.007530395,0.002843179,0.008126234,0.003806779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002494025,0.02797977,0.7578743,0.002086129,0.0004360254,0.0005037846,0.01836918,0.0003560207,0.0008593065,0.002238796,0.004408234,0.1823945],"study_design_scores_gemma":[0.001245263,0.03270514,0.9000769,0.003674465,0.001013989,0.0005636602,0.03385327,0.002200304,0.002601763,0.001148653,0.02069525,0.0002214156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441603,0.00192755,0.008712215,0.002066782,0.0001874919,0.03044732,0.001452647,0.0001152138,0.01093045],"genre_scores_gemma":[0.9483657,0.001146883,0.02014197,0.001254507,0.00008348912,0.02634767,0.0005661192,0.00005395519,0.002039751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04156967,"threshold_uncertainty_score":0.219844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113769246749276,"score_gpt":0.5150184248692112,"score_spread":0.4036415001942836,"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."}}