{"id":"W2119155520","doi":"","title":"Health Informatics Education in Canada - What's Ahead?","year":2001,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health informatics; Political science; Gerontology; Medicine; Public health; Nursing","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002273744,0.0003542854,0.0007943964,0.0003196188,0.0007838882,0.0000277971,0.0004320849,0.0002702331,0.000238448],"category_scores_gemma":[0.0001775008,0.0003669825,0.00005243097,0.001117829,0.000020642,0.0007319578,0.00006627275,0.002712508,0.0002076283],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.04147162,"about_ca_system_score_gemma":0.2986307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820929,"about_ca_topic_score_gemma":0.9990687,"domain_scores_codex":[0.9913787,0.001562278,0.002663777,0.0004018565,0.0006406669,0.003352759],"domain_scores_gemma":[0.9967681,0.0004291443,0.0009904556,0.0007518311,0.0003079376,0.000752571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001057933,0.0001062753,0.3646486,0.002480058,0.00001794224,0.000006943223,0.007047871,0.00002930314,0.00000448224,0.004286156,0.0587936,0.5624729],"study_design_scores_gemma":[0.001333597,0.0004141604,0.06003749,0.002008726,0.000004714873,0.00005890146,0.05563154,0.0008030146,0.000005658751,0.0007458251,0.8784335,0.0005229156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336006,0.05757533,0.0001633796,0.08988529,0.004894538,0.005237488,0.00001444376,0.0002408936,0.008388069],"genre_scores_gemma":[0.946821,0.01558175,0.0001825701,0.03327703,0.0006772352,0.0007087691,0.0001537642,0.00008255272,0.002515302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8196399,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818561293154347,"score_gpt":0.4148031410899075,"score_spread":0.386617528158364,"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."}}