{"id":"W4301396488","doi":"10.5334/dsj-2022-017","title":"A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma","year":2022,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroblastoma; Computer science; Health records; Open science; License; The Internet; Electronic health record; Open data; World Wide Web; Internet privacy; Medicine; Information retrieval; Data mining; Political science; Mathematics; Statistics; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002857057,0.0001493583,0.0003222227,0.0003372727,0.0009012067,0.0002854741,0.002741999,0.00001149033,0.001453],"category_scores_gemma":[0.0004917475,0.000109303,0.00002019123,0.001281552,0.0002250439,0.001605544,0.002434728,0.0006999192,0.00004382752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026068,"about_ca_system_score_gemma":0.005009867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360217,"about_ca_topic_score_gemma":0.001634632,"domain_scores_codex":[0.9959581,0.0003654963,0.0003506356,0.0007080496,0.001834701,0.000782961],"domain_scores_gemma":[0.9972745,0.0001210484,0.0003709691,0.00143447,0.0002028244,0.0005961609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008404824,0.00473583,0.6944162,0.00001703237,0.0001862987,0.0002755148,0.00008853035,0.00002532378,0.001545126,0.00001421331,0.2717462,0.01854486],"study_design_scores_gemma":[0.004738842,0.01035989,0.9714262,0.00004344098,0.00001677347,0.00008529951,0.00003786686,0.0003308833,0.0005484685,0.00001275752,0.01228374,0.0001158507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797359,0.00004012203,0.00001694145,0.0006629621,0.0001290784,0.000570018,0.01870537,0.000009823865,0.0001297909],"genre_scores_gemma":[0.9890721,0.00007237559,0.0004722965,0.0008504962,0.00002497538,0.00001016863,0.009386744,0.00002036718,0.00009043954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.27701,"threshold_uncertainty_score":0.9994598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07305559528067233,"score_gpt":0.3504970068041415,"score_spread":0.2774414115234691,"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."}}