{"id":"W4226475036","doi":"10.1007/978-3-030-99372-6_8","title":"A Hybrid Synchronization Mechanism for Parallel Sparse Triangular Solve","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Synchronization (alternating current); sync; Data synchronization; Set (abstract data type); Parallel computing; Sparse matrix; Algorithm; Theoretical computer science; Wireless sensor network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001402862,0.0005224834,0.0005581963,0.0006843602,0.0005744328,0.0004768024,0.003490855,0.0001744225,0.0001383827],"category_scores_gemma":[0.0001413081,0.0005147646,0.0002356917,0.0004126229,0.0002710298,0.0006607583,0.001380753,0.000592671,0.0000253823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598999,"about_ca_system_score_gemma":0.0006129973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008977219,"about_ca_topic_score_gemma":0.000007181112,"domain_scores_codex":[0.9961542,0.0000512803,0.0005423708,0.001634483,0.0009114221,0.0007061747],"domain_scores_gemma":[0.9973719,0.0005117309,0.0003649438,0.001347377,0.0002397041,0.0001643044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001199194,0.0000269859,2.532944e-7,0.00003912183,0.000012989,0.00008130606,0.0002499187,0.03103233,0.0000254364,0.7288202,0.00003271161,0.2396668],"study_design_scores_gemma":[0.0003370433,0.0001708365,3.137706e-7,0.00005132862,0.000008522568,0.00006194825,8.974389e-8,0.4900817,0.0004665047,0.5058496,0.002603241,0.000368943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008787218,0.0002824996,0.9938064,0.0007607204,0.00295546,0.001012579,0.00002884206,0.0002134511,0.0009312322],"genre_scores_gemma":[0.01532574,0.00006954405,0.980361,0.002213239,0.0009214485,0.0001125668,0.00004256285,0.00006730819,0.0008865703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4590493,"threshold_uncertainty_score":0.9997304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560329089388904,"score_gpt":0.2341546146570528,"score_spread":0.2185513237631637,"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."}}