{"id":"W76621674","doi":"","title":"Canada's e-health journey and HIMSS Analytics' Canada Information and Communications Technology Study.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Research and Practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Information and Communications Technology; Healthcare delivery; Health care; Business; Medicine; Political science; Data science; Computer 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":[0.00282015,0.0002988805,0.0004822169,0.002606817,0.01889756,0.007925248,0.00115948,0.00147326,0.01260887],"category_scores_gemma":[0.01107644,0.0004059944,0.0004849092,0.009058075,0.002587877,0.002694259,0.003897941,0.003017007,0.001027867],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1078525,"about_ca_system_score_gemma":0.342914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981835,"about_ca_topic_score_gemma":0.9990346,"domain_scores_codex":[0.9957638,0.0004381544,0.0001281171,0.000206913,0.001886186,0.001576801],"domain_scores_gemma":[0.9825385,0.001837014,0.0005963361,0.0003506117,0.006317024,0.00836052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002249716,0.0002647678,0.1368623,0.0005795405,0.00007770482,0.000550871,0.07266694,0.0001969464,0.0001578804,0.04535019,0.6598656,0.08320234],"study_design_scores_gemma":[0.00006320835,0.00007464839,0.3340047,0.0007843107,0.00005472946,0.0001820386,0.1329073,0.0001791938,0.0001728692,0.001571139,0.529896,0.000109828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3608694,0.02190496,0.0006078994,0.2670331,0.001508875,0.0007305295,0.06787366,0.0001737773,0.2792978],"genre_scores_gemma":[0.8493842,0.009812555,0.001128806,0.02803475,0.0001410936,0.0004244616,0.008978867,0.0001102296,0.101985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8921475,"threshold_uncertainty_score":0.7825285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059987439913529,"score_gpt":0.4312799085604318,"score_spread":0.3252811645690789,"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."}}