{"id":"W2784452976","doi":"10.2196/cardio.7586","title":"Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing","year":2018,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Multidisciplinary approach; Psychological intervention; Wearable computer; Computer science; eHealth; Wearable technology; Knowledge management; Smartwatch; Data science; Health care; Medicine","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":[0.03866307,0.001878083,0.00113295,0.0057449,0.002535362,0.01102432,0.005631611,0.0054392,0.02012468],"category_scores_gemma":[0.06929668,0.001579767,0.001847739,0.002038136,0.007703021,0.01440301,0.03110767,0.008696811,0.01534967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615828,"about_ca_system_score_gemma":0.01341423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007538616,"about_ca_topic_score_gemma":0.001766886,"domain_scores_codex":[0.9652098,0.02184044,0.003506051,0.001476444,0.006702177,0.00126506],"domain_scores_gemma":[0.9164424,0.05757344,0.00255673,0.009832557,0.004742112,0.008852758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002837173,0.001087755,0.002476119,0.004605333,0.0001087284,0.001823382,0.0389559,0.003297346,0.00589525,0.1114974,0.1767611,0.653208],"study_design_scores_gemma":[0.0002073562,0.0003820508,0.001059582,0.003109939,0.00003894641,0.001404407,0.007960384,0.002762059,0.00238544,0.1237486,0.8567235,0.0002175739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01025606,0.00597711,0.776903,0.06492238,0.002293337,0.004984192,0.001591966,0.03475682,0.09831521],"genre_scores_gemma":[0.03231335,0.003832408,0.9284514,0.005781195,0.0005142196,0.006379679,0.001105573,0.002364708,0.0192576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03866307,"threshold_uncertainty_score":0.2044723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543190698428524,"score_gpt":0.5282561955883242,"score_spread":0.3739371257454718,"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."}}