{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01207521,0.0008095203,0.0005429452,0.0009082023,0.000466141,0.0007622953,0.0005878858,0.0003671112,0.001272509],"category_scores_gemma":[0.007820694,0.0002712705,0.0003976958,0.0005611714,0.0003284969,0.0005185169,0.0008275415,0.0005026433,0.0005057187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727366,"about_ca_system_score_gemma":0.0007932365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325625,"about_ca_topic_score_gemma":0.001403172,"domain_scores_codex":[0.9910862,0.004149178,0.0006098946,0.001508829,0.002328772,0.000317185],"domain_scores_gemma":[0.9861764,0.002575333,0.001950322,0.0009261075,0.007003976,0.001367786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01521718,0.004822771,0.8349993,0.0002306606,0.0005595165,0.0003995991,0.001431942,0.002129347,0.03379919,0.000145244,0.002937549,0.1033277],"study_design_scores_gemma":[0.0003709155,0.03992096,0.9321139,0.00002964683,0.0002642701,0.000942015,0.0003855504,0.006118569,0.01696241,0.00005210724,0.002783022,0.00005645409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917932,0.0002549625,0.005681715,0.00006365612,0.00004143724,0.0005033842,0.0003754084,0.0001250775,0.00116124],"genre_scores_gemma":[0.9896232,0.00006964595,0.00861335,0.00009295726,0.00004268063,0.0002509669,0.000692694,0.00005406225,0.0005603929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207521,"threshold_uncertainty_score":0.0638606,"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."}}