{"id":"W4226516420","doi":"","title":"Implementing Epic Beaker Laboratory Information System for Diagnostics in Anatomic Pathology","year":2022,"lang":"en","type":"review","venue":"Dove Medical Press (Taylor and Francis Group)","topic":"AI in cancer detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Alberta; University of Ottawa","funders":"","keywords":"EPIC; Desk; Radiological weapon; Medicine; Beaker; Pathology; Medical physics; Computer science; Radiology; History","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":[0.006201632,0.0005453143,0.0007138301,0.003757866,0.0002499912,0.001184214,0.001435441,0.001127344,0.002519106],"category_scores_gemma":[0.008819721,0.0003094648,0.0007867762,0.003156454,0.0005351744,0.00184338,0.001007987,0.001555161,0.001340483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341331,"about_ca_system_score_gemma":0.004239397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002746201,"about_ca_topic_score_gemma":0.003807729,"domain_scores_codex":[0.9971277,0.001051801,0.0004850224,0.0001966415,0.001024637,0.0001141928],"domain_scores_gemma":[0.9929045,0.003744833,0.0007325481,0.0002365798,0.002213184,0.0001683831],"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":[0.00004459401,0.00003534664,0.0003735812,0.01723494,0.00007350122,0.0000664305,0.00008369811,0.0001480826,0.0003712592,0.002427231,0.01984698,0.9592944],"study_design_scores_gemma":[0.00003647012,0.0002388014,0.002950183,0.02255045,0.0002377318,0.001136218,0.0001055675,0.0002418535,0.001087734,0.0008939032,0.9704881,0.00003316423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002330998,0.9948001,0.001017606,0.0009598888,0.0003397298,0.00006716404,0.00002597725,0.00003423723,0.002522222],"genre_scores_gemma":[0.00281692,0.9926621,0.002850786,0.0007157585,0.0001922513,0.00006472274,0.00007711985,0.00000801533,0.0006123477],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006201632,"threshold_uncertainty_score":0.03279781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548563747971366,"score_gpt":0.2960928002232996,"score_spread":0.270607162743586,"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."}}