{"id":"W2110403719","doi":"10.1109/cic.2005.1588195","title":"Diagnostic imaging on demand, information management insights based on canadian DI/EHR strategies","year":2005,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Stakeholder; Electronic health record; Process (computing); Process management; Business; Healthcare delivery; Stakeholder engagement; Knowledge management; Health care; On demand; Maturity (psychological); Information management; Computer science; Public relations; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004883269,0.0002840339,0.0001406635,0.003323161,0.002640387,0.007239491,0.001148277,0.0008100719,0.005555188],"category_scores_gemma":[0.00988664,0.0001933768,0.0002515561,0.004469171,0.001420672,0.00318451,0.002442111,0.0009140549,0.0005833874],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04001749,"about_ca_system_score_gemma":0.0370642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7420924,"about_ca_topic_score_gemma":0.8039093,"domain_scores_codex":[0.99695,0.0006928005,0.0001828171,0.0001711639,0.001368992,0.0006343471],"domain_scores_gemma":[0.9946877,0.001446364,0.0002274523,0.0003240388,0.002628558,0.0006859215],"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":[0.0001806299,0.0002606437,0.04728304,0.0002239141,0.0000230644,0.001002487,0.01583511,0.00636392,0.003323652,0.6560013,0.05686142,0.2126409],"study_design_scores_gemma":[0.00008544204,0.0001246871,0.08555794,0.0003726604,0.00008633181,0.0007631776,0.0761075,0.06737626,0.008728535,0.168015,0.5925628,0.0002197303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2460055,0.001126514,0.03458981,0.07241186,0.00008376937,0.0004635509,0.003059458,0.0004849987,0.6417746],"genre_scores_gemma":[0.9353033,0.001312092,0.03346244,0.002027349,0.00002614098,0.00009271611,0.001751708,0.00008111978,0.02594321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9599825,"threshold_uncertainty_score":0.5188529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005054291014623746,"score_gpt":0.2237149128441437,"score_spread":0.2186606218295199,"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."}}