{"id":"W2077741232","doi":"10.1145/2755996.2756672","title":"A Relaxed Algorithm for Online Matrix Inversion","year":2015,"lang":"en","type":"article","venue":"","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Invertible matrix; Algorithm; Dimension (graph theory); Matrix (chemical analysis); Iterative method; Computation; Rank (graph theory); Computer science; Multiplication (music); Matrix multiplication; Inversion (geology); Row; Field (mathematics); Row and column spaces; Mathematics; Combinatorics; Pure mathematics","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":[0.001519365,0.001067738,0.001026193,0.0005698454,0.0005609847,0.001671704,0.002598795,0.001426672,0.01017062],"category_scores_gemma":[0.00547914,0.0006521477,0.0008551291,0.0009149314,0.0008969355,0.003071682,0.002946041,0.002766419,0.004945045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007283405,"about_ca_system_score_gemma":0.00191928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147719,"about_ca_topic_score_gemma":0.003191291,"domain_scores_codex":[0.9979989,0.0004477282,0.0001164466,0.0003598156,0.0008306071,0.0002463995],"domain_scores_gemma":[0.9978647,0.000620022,0.0001281718,0.0008489398,0.00046032,0.00007787624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005804133,0.0003043398,0.0006159694,0.0002616317,0.00005796729,0.000210371,0.0003127377,0.2418829,0.02695199,0.1681676,0.01303832,0.5476156],"study_design_scores_gemma":[0.00005410203,0.0001090544,0.00009843268,0.00001522207,0.000008760225,0.0001308913,0.00003577822,0.9479722,0.007416104,0.03748372,0.006652969,0.00002274451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001778085,0.00002303501,0.9962704,0.00006145199,0.00001763462,0.00002890915,0.000040347,0.0006561368,0.001124025],"genre_scores_gemma":[0.06129534,0.00005942161,0.9340154,0.0001117585,0.00005419168,0.0001469194,0.0003263377,0.0002071836,0.003783381],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017062,"threshold_uncertainty_score":0.03402406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083502350588944,"score_gpt":0.2867325653930303,"score_spread":0.2558975418871408,"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."}}