{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006998059,0.0001177741,0.00006950673,0.0001163734,0.00009174582,0.00006113889,0.0001241055,0.00007813054,0.00004170418],"category_scores_gemma":[0.00006998106,0.0000920873,0.00003464334,0.00005857804,0.0000513795,0.000008320756,0.00002119505,0.00006268906,0.0001110048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003472079,"about_ca_system_score_gemma":0.00007306156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008856744,"about_ca_topic_score_gemma":0.007724579,"domain_scores_codex":[0.9993551,0.00002173488,0.0001348438,0.0001505015,0.0001193002,0.0002185451],"domain_scores_gemma":[0.999588,0.000033149,0.00002921372,0.0002027763,0.00002318475,0.0001236383],"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":[0.0001423225,0.0001953658,0.003752092,0.00008927484,0.00009215558,0.00005064878,0.00026535,0.01305075,0.0007949058,0.01116967,0.06226247,0.908135],"study_design_scores_gemma":[0.001075216,0.000403594,0.02507674,0.0000738426,0.00002049347,0.000003478662,0.00092017,0.008569093,0.007599293,0.0002007153,0.9556684,0.0003889574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.409077,0.0006176768,0.04413035,0.009884214,0.0005612014,0.0007154249,0.00003573509,0.0001879273,0.5347905],"genre_scores_gemma":[0.9937803,0.00005167948,0.001260651,0.00443688,0.00009164339,0.00002146434,0.0001319175,0.000005739277,0.0002196882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.907746,"threshold_uncertainty_score":0.4310496,"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."}}