{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003698872,0.0007019218,0.001419789,0.001851801,0.003353869,0.00007535303,0.000677673,0.001435256,0.00007366096],"category_scores_gemma":[0.0006332622,0.0007672515,0.0001371733,0.0028557,0.0001330644,0.000951481,0.00009435457,0.004723816,0.0002179443],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0137533,"about_ca_system_score_gemma":0.03054674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1447664,"about_ca_topic_score_gemma":0.5763238,"domain_scores_codex":[0.9882181,0.001584092,0.002723794,0.0009275196,0.0007883811,0.005758091],"domain_scores_gemma":[0.9935952,0.0003597789,0.001278336,0.001204026,0.0009910256,0.002571647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003607503,0.0001717561,0.2040482,0.008143886,0.000288454,0.0000631216,0.01884708,0.00009410173,0.0000626262,0.3779247,0.0719184,0.3180769],"study_design_scores_gemma":[0.004372996,0.006318361,0.03706709,0.002114395,0.0001135682,0.0001981443,0.02346369,0.005966141,0.00006247004,0.01740268,0.9008082,0.002112314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1557892,0.03705882,0.0009377346,0.7866745,0.00165112,0.009413459,0.0002505289,0.00176071,0.006463913],"genre_scores_gemma":[0.9484965,0.002596807,0.0004465343,0.04648796,0.0005931269,0.000237683,0.0003507757,0.00008335811,0.000707246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8288897,"threshold_uncertainty_score":0.9998611,"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."}}