{"id":"W2582753945","doi":"10.1093/labmed/lmw061","title":"Multi-Center Evaluation of the Automated Immunohematology Instrument, the ORTHO VISION Analyzer","year":2017,"lang":"en","type":"article","venue":"Laboratory Medicine","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Spectrum analyzer; Computer science; Workload; Artificial intelligence; Machine vision; Medicine; Computer hardware; Medical physics; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0009907677,0.0001208715,0.000182941,0.00005244331,0.0003034606,0.00009639755,0.001668034,0.00003395047,0.00001886921],"category_scores_gemma":[0.0009182967,0.00005953382,0.00004550758,0.0002635715,0.0005601152,0.0006419162,0.0004301717,0.00008985202,0.0000152706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000296307,"about_ca_system_score_gemma":0.0001885192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003700792,"about_ca_topic_score_gemma":0.00002143869,"domain_scores_codex":[0.9984336,0.0002274127,0.0002809828,0.0002306954,0.0006609773,0.0001663054],"domain_scores_gemma":[0.9971035,0.0000513169,0.0004089393,0.001845837,0.0005375973,0.00005287407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001060821,0.0042304,0.659425,0.0003218754,0.001004769,0.00006229457,0.005470569,0.0003172318,0.05183231,0.04528103,0.08048362,0.1514648],"study_design_scores_gemma":[0.006002093,0.0001260319,0.7930555,0.0004203015,0.0002103253,0.00001893385,0.0001265132,0.1863445,0.005530573,0.0007881317,0.007165522,0.0002116081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831867,0.0008933324,0.0005969598,0.01002389,0.00142512,0.0004963837,0.00002181157,0.0002213004,0.003134566],"genre_scores_gemma":[0.998933,0.000006780078,0.0004119505,0.000557196,0.00002723672,0.00001436493,0.000003921754,0.000007404004,0.0000382114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1860272,"threshold_uncertainty_score":0.3099649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365558532344427,"score_gpt":0.3509041210598061,"score_spread":0.3143482678253634,"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."}}