{"id":"W4283124190","doi":"10.2172/1872699","title":"Mixed Precision Numerical Linear Algebra (Final Report)","year":2022,"lang":"en","type":"report","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Univerzita Karlova v Praze; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Linear algebra; Quarter (Canadian coin); Computer science; Algebra over a field; Algorithm; Applied mathematics; Computational science; Mathematics; Pure mathematics; Geography; Geometry; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007186092,0.001138435,0.0007901784,0.001919448,0.0009966001,0.004656434,0.0015444,0.0009487583,0.0974324],"category_scores_gemma":[0.008233676,0.0005773649,0.0006662342,0.001812814,0.0006141051,0.001529633,0.00199949,0.002292967,0.08697454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753077,"about_ca_system_score_gemma":0.004180149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004085514,"about_ca_topic_score_gemma":0.007525407,"domain_scores_codex":[0.9934482,0.001110039,0.0001670106,0.0005373321,0.004253759,0.0004837389],"domain_scores_gemma":[0.9907683,0.0009590251,0.0002302665,0.001458281,0.005944362,0.0006397401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001486934,0.0001128922,0.0003949879,0.0001829603,0.00002927851,0.00004556702,0.00004965811,0.001243678,0.001590134,0.02689287,0.8974243,0.07188507],"study_design_scores_gemma":[0.00006343613,0.0001685321,0.001513856,0.0001198517,0.00001993333,0.0001459296,0.00004775208,0.004918659,0.00945871,0.01088447,0.9726342,0.00002474269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009831896,0.007718354,0.2042789,0.01223008,0.02584913,0.001582884,0.05333892,0.009600637,0.6755692],"genre_scores_gemma":[0.03882631,0.003836794,0.09741797,0.001667739,0.003872267,0.001344362,0.05397667,0.004706757,0.7943513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0974324,"threshold_uncertainty_score":0.3259439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05738091156638798,"score_gpt":0.3068324531542986,"score_spread":0.2494515415879106,"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."}}