{"id":"W3109008254","doi":"10.12927/hcpol.2020.26353","title":"Catalyzing Digital Health Innovation in Ontario: The Role of an Academic Medical Centre","year":2020,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"University of Toronto; Women's College Hospital; Heart and Stroke Foundation of Canada","keywords":"Digital health; Key (lock); State (computer science); Business; Health care; Health technology; Healthcare system; Public relations; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0124336,0.0003468587,0.0004787767,0.001370074,0.03134371,0.0173061,0.002617886,0.004604818,0.013788],"category_scores_gemma":[0.02103848,0.0006057252,0.0005590335,0.002959069,0.01213958,0.004510838,0.01026601,0.005186253,0.0009405387],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2245089,"about_ca_system_score_gemma":0.5240859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9739967,"about_ca_topic_score_gemma":0.9930602,"domain_scores_codex":[0.9825964,0.004746654,0.0004839281,0.0009179768,0.004520033,0.006735147],"domain_scores_gemma":[0.9411599,0.007063806,0.002562765,0.001008182,0.009241425,0.038964],"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":[0.0008008536,0.0004893541,0.0863407,0.001674233,0.0001307498,0.00381648,0.09555294,0.001743121,0.002737435,0.2725002,0.3506108,0.1836032],"study_design_scores_gemma":[0.0001758267,0.0002115502,0.04965949,0.0009729764,0.00009407702,0.0004042572,0.09635577,0.001494151,0.0009579535,0.01428253,0.8351568,0.0002347114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.150277,0.01013898,0.002231333,0.6616452,0.001883341,0.0004739614,0.0005405582,0.0001775138,0.1726321],"genre_scores_gemma":[0.8958571,0.007278592,0.004534002,0.03650748,0.0003684508,0.0001339286,0.0002042685,0.00007586763,0.05504026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7754911,"threshold_uncertainty_score":0.8994598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374963507357419,"score_gpt":0.4575907178066173,"score_spread":0.3200943670708754,"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."}}