{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001346518,0.0002333342,0.0006646922,0.0001624105,0.001285148,0.00003884468,0.0003384429,0.0002524277,0.0002265254],"category_scores_gemma":[0.001709154,0.0002273983,0.00008833529,0.001940852,0.00009707162,0.0001537675,0.0002752305,0.0008050852,0.006998132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513257,"about_ca_system_score_gemma":0.002233515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005627475,"about_ca_topic_score_gemma":0.0001054387,"domain_scores_codex":[0.9954089,0.0003767111,0.001941368,0.0007641693,0.0003824531,0.001126387],"domain_scores_gemma":[0.9951425,0.001142382,0.0004359162,0.0009264125,0.001017038,0.001335792],"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":[0.0001097144,0.00006777298,0.09123256,0.0000905135,0.00002163898,0.000002394746,0.002295812,0.000003934967,0.00001390927,0.002091019,0.435936,0.4681348],"study_design_scores_gemma":[0.0007048805,0.0005161646,0.1197614,0.0002866069,0.000004639196,0.0000015683,0.0005482263,0.00002056659,0.000003292214,0.0003241474,0.8776407,0.0001878847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325909,0.0003909502,0.02248983,0.08139899,0.00904904,0.0318761,0.002511799,0.001667953,0.1180244],"genre_scores_gemma":[0.8218783,0.00001344677,0.01233293,0.1320712,0.0140396,0.01504999,0.0003942564,0.00009781821,0.004122432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679469,"threshold_uncertainty_score":0.993775,"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."}}