{"id":"W2758871508","doi":"10.2196/resprot.8038","title":"Using Smart Technology to Improve Outcomes in Myocardial Infarction Patients: Rationale and Design of a Protocol for a Randomized Controlled Trial, The Box","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Physical therapy; Randomized controlled trial; Myocardial infarction; Patient satisfaction; Quality of life (healthcare); Clinical trial; Acute coronary syndrome; Outpatient clinic; Emergency medicine; Medical emergency; Internal medicine; Surgery; 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":[0.07169282,0.005808579,0.008522127,0.003442562,0.004065316,0.0043676,0.002588039,0.01173913,0.04112002],"category_scores_gemma":[0.07209721,0.002582251,0.007028318,0.004096922,0.00434808,0.003340793,0.002185403,0.007836387,0.008112057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003574221,"about_ca_system_score_gemma":0.01509845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009945234,"about_ca_topic_score_gemma":0.001839523,"domain_scores_codex":[0.9211446,0.05999071,0.007593567,0.003343812,0.004711016,0.003216291],"domain_scores_gemma":[0.9723393,0.01265614,0.004686295,0.003567596,0.004684366,0.002066344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.7783729,0.02448947,0.002595094,0.04463565,0.006172261,0.0005648191,0.0009420638,0.004796383,0.003182523,0.01695515,0.03240139,0.08489218],"study_design_scores_gemma":[0.9160622,0.02782637,0.002558606,0.00629034,0.00175612,0.000107508,0.0001442554,0.004399468,0.001069118,0.00616354,0.03348992,0.0001326295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001033396,0.0002479611,0.002117526,0.0002625094,0.0005012157,0.9948488,0.0004319433,0.00006720398,0.0004894587],"genre_scores_gemma":[0.0008019728,0.00005829104,0.002709948,0.0001440682,0.00003995064,0.9961032,0.00004102539,0.000002445472,0.00009905716],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07169282,"threshold_uncertainty_score":0.3791524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3108594027621728,"score_gpt":0.6369270046287996,"score_spread":0.3260676018666268,"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."}}