{"id":"W2146242213","doi":"10.12927/hcq.2010.21816","title":"Does E-health Adoption Enable Improved Health Outcomes? Encouraging Evidence from Ontario Hospitals","year":2010,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Best practice; Health administration; Business; Health care; Nursing; Health information technology; Medicine; Family medicine; Public health; Economic growth; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02233968,0.0004402582,0.0006015607,0.001472763,0.001840108,0.003609299,0.001449539,0.001803468,0.008446434],"category_scores_gemma":[0.09768146,0.0004113163,0.0009954325,0.00474226,0.00198234,0.001940165,0.002408405,0.001817102,0.0004807897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02512943,"about_ca_system_score_gemma":0.06366862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7890432,"about_ca_topic_score_gemma":0.9029874,"domain_scores_codex":[0.983335,0.007345618,0.001355566,0.0007998436,0.005002304,0.002161563],"domain_scores_gemma":[0.860133,0.06853261,0.01826552,0.0054948,0.0402827,0.007291289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007285181,0.002680027,0.4943722,0.01431932,0.001808005,0.0006468988,0.01425332,0.0007251302,0.001387742,0.007622974,0.05085883,0.4040405],"study_design_scores_gemma":[0.00195652,0.002099027,0.8885391,0.0140924,0.002315091,0.0001181716,0.01081511,0.0005281696,0.001148769,0.001545371,0.07671576,0.0001264915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7458308,0.04725945,0.001174267,0.09145407,0.000666584,0.001818945,0.005544298,0.00006953113,0.106182],"genre_scores_gemma":[0.969053,0.01793992,0.001495722,0.006174074,0.0002126072,0.0003540425,0.0008249861,0.00002660246,0.003919118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2109568,"threshold_uncertainty_score":0.4243983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03415992722341409,"score_gpt":0.3955036911806533,"score_spread":0.3613437639572392,"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."}}