{"id":"W3011769029","doi":"10.1089/jamp.2020.1597","title":"Reflections on Digital Health Tools for Respiratory Applications","year":2020,"lang":"en","type":"article","venue":"Journal of Aerosol Medicine and Pulmonary Drug Delivery","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trudell Medical International (Canada)","funders":"","keywords":"Digital health; Health care; Computer science; Health technology; Data science; Incentive; Medicine; Public relations; Political science; Economics","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":[0.06820004,0.001516258,0.0009642829,0.002417417,0.005656381,0.02666999,0.005073072,0.03462761,0.03292102],"category_scores_gemma":[0.1148474,0.0009839418,0.002679253,0.002437471,0.01950179,0.05753908,0.01210328,0.04448613,0.009693611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016699,"about_ca_system_score_gemma":0.01079708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004798611,"about_ca_topic_score_gemma":0.003109112,"domain_scores_codex":[0.9394817,0.03555521,0.00281827,0.003912396,0.01475006,0.00348231],"domain_scores_gemma":[0.7808972,0.1861904,0.003050506,0.006064799,0.01808503,0.005712149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000763858,0.00009167791,0.0003033494,0.001269514,0.00001781677,0.0004833571,0.005908645,0.0003901707,0.0003701398,0.2807316,0.6539068,0.05645061],"study_design_scores_gemma":[0.00001328878,0.00004489908,0.0001177572,0.001173556,0.000008819856,0.0002302581,0.003534969,0.0001536611,0.0002911291,0.02238302,0.9720185,0.00003022272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006801899,0.01470471,0.002247724,0.9547557,0.009109194,0.00002651695,0.0001134479,0.00009517991,0.01826742],"genre_scores_gemma":[0.05214098,0.064495,0.009706273,0.8011546,0.03109712,0.0003115263,0.0002475484,0.0006225557,0.0402244],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06820004,"threshold_uncertainty_score":0.3606806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09762977585992609,"score_gpt":0.3610013690583146,"score_spread":0.2633715931983885,"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."}}