{"id":"W2160220303","doi":"10.3747/co.21.1923","title":"Implementing a Regional Oncology Information System: Approach and Lessons Learned","year":2014,"lang":"en","type":"article","venue":"Current Oncology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Public Health Ontario; University of Toronto; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Confidentiality; Process (computing); Process management; Work (physics); Health care; Medicine; Information system; Knowledge management; Resource (disambiguation); Quality (philosophy); Computer science; Business; Engineering; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005643684,0.000203203,0.0006415019,0.0002370467,0.001104813,0.00001169569,0.0002065408,0.0004525666,0.00005015759],"category_scores_gemma":[0.0004095411,0.0001836119,0.00005428663,0.0002073563,0.00009421846,0.000232317,0.0002457685,0.001272942,0.0003251749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895262,"about_ca_system_score_gemma":0.001744297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476469,"about_ca_topic_score_gemma":0.0003064427,"domain_scores_codex":[0.9939122,0.002938316,0.001218412,0.000348104,0.0002310691,0.001351859],"domain_scores_gemma":[0.9971604,0.00111506,0.0008724089,0.0003030143,0.0002603113,0.0002888465],"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":[0.0001204859,0.0001414063,0.02306831,0.004251099,0.00003950008,8.553469e-7,0.01047718,0.00000401029,0.00003510458,0.178833,0.03171138,0.7513177],"study_design_scores_gemma":[0.002079553,0.0004208619,0.002717508,0.000171121,0.00002918924,0.00004097698,0.008706205,0.006600348,7.458421e-7,0.000259229,0.9788184,0.0001559314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.344551,0.003187684,0.09954832,0.03976931,0.01605705,0.008983664,0.00007545547,0.00140295,0.4864246],"genre_scores_gemma":[0.9930453,0.000325054,0.001542194,0.001235679,0.001804859,0.001472709,0.000222099,0.00003632597,0.0003158228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.947107,"threshold_uncertainty_score":0.8497438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3578820325334854,"score_gpt":0.5558864294458108,"score_spread":0.1980043969123254,"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."}}