{"id":"W4388153184","doi":"10.1016/j.heliyon.2023.e21586","title":"Development and validation of the SickKids Enterprise-wide Data in Azure Repository (SEDAR)","year":2023,"lang":"en","type":"article","venue":"Heliyon","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Garron Family Cancer Centre; Microsoft","keywords":"Computer science; Schema (genetic algorithms); Information retrieval; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04136376,0.001069568,0.0006830196,0.003632628,0.001107759,0.006037888,0.005756899,0.001108892,0.00425911],"category_scores_gemma":[0.0522035,0.001072181,0.001892311,0.002433924,0.001494518,0.007945696,0.006172843,0.003156936,0.003307309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673026,"about_ca_system_score_gemma":0.009077901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010982,"about_ca_topic_score_gemma":0.009081389,"domain_scores_codex":[0.9816585,0.005078711,0.003389847,0.003121111,0.005986376,0.0007655315],"domain_scores_gemma":[0.942282,0.01059384,0.00365405,0.02530771,0.01566091,0.002501555],"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":[0.002916767,0.001950985,0.08261254,0.003274421,0.0007808527,0.002305015,0.02359628,0.0283976,0.07907646,0.07317771,0.1399444,0.561967],"study_design_scores_gemma":[0.0007569839,0.001711854,0.07040786,0.002719857,0.0004222151,0.00219612,0.004463138,0.07733323,0.1744675,0.01464042,0.6502045,0.000676318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1309344,0.001268511,0.7173027,0.003619049,0.0004307955,0.008467772,0.0373229,0.08462141,0.01603249],"genre_scores_gemma":[0.1061238,0.0004336635,0.8038903,0.0007342865,0.00006790033,0.001972781,0.07596522,0.005965922,0.004846158],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04136376,"threshold_uncertainty_score":0.2187551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08295343321770635,"score_gpt":0.4082065225419245,"score_spread":0.3252530893242181,"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."}}