{"id":"W1777054275","doi":"","title":"HIMSS Analytics Column: Growing E-health Information Technology Partnership: Canadian Healthcare and HIMSS Analytics","year":2009,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Analytics; General partnership; Column (typography); Business; Health care; Data science; Computer science; Political science; Telecommunications","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":[0.005937165,0.001822767,0.001135591,0.01147733,0.007927408,0.0196962,0.00217254,0.003267657,0.1497704],"category_scores_gemma":[0.0172028,0.0006315747,0.001031189,0.01737937,0.002900523,0.004758591,0.002808733,0.003938277,0.03903869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04632428,"about_ca_system_score_gemma":0.1399809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278307,"about_ca_topic_score_gemma":0.9715251,"domain_scores_codex":[0.9884983,0.0003004899,0.0002841749,0.0004636591,0.009363046,0.001090239],"domain_scores_gemma":[0.9224058,0.004994307,0.001400036,0.001301757,0.06055174,0.009346273],"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":[0.000004127903,0.000005015785,0.0002528243,0.00001065847,0.000001282684,0.000003594989,0.00000963268,0.00001527559,0.00002195063,0.0002831797,0.9954151,0.003977263],"study_design_scores_gemma":[0.00001140259,0.000006193165,0.004104204,0.00006897181,0.000009041389,0.000009840445,0.0003117111,0.0004057092,0.0002046934,0.0004723903,0.9943733,0.00002257382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003804392,0.00650078,0.001866207,0.6017942,0.05682835,0.0004950013,0.06599913,0.004063095,0.2586488],"genre_scores_gemma":[0.01737552,0.005941794,0.002178511,0.03468337,0.01511719,0.0001412882,0.03861081,0.001082851,0.8848687],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1497704,"threshold_uncertainty_score":0.5010318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935980143732311,"score_gpt":0.3943344100411759,"score_spread":0.3549746086038528,"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."}}