{"id":"W34943095","doi":"10.1007/978-3-642-40627-0_6","title":"Parallel Discrepancy-Based Search","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Backtracking; Computer science; Scalability; Heuristic; Parallel computing; Computation; Supercomputer; Load balancing (electrical power); Massively parallel; Constraint satisfaction problem; Algorithm; Artificial intelligence; Grid","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":[0.0004820225,0.0004108273,0.0003609931,0.0007696064,0.0002434087,0.0007192634,0.002033345,0.0002591342,0.0003137737],"category_scores_gemma":[0.00004468985,0.0003723116,0.0001255371,0.0005170768,0.0006017265,0.0006443711,0.0006004529,0.0006625,0.0002804363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457806,"about_ca_system_score_gemma":0.0008621884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003804863,"about_ca_topic_score_gemma":0.00006789115,"domain_scores_codex":[0.9967517,0.00003691162,0.0004190143,0.001266776,0.0009600485,0.0005655247],"domain_scores_gemma":[0.9978536,0.000284903,0.0001630845,0.001220466,0.0002704516,0.0002074878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002371558,0.00001498429,0.0000743522,0.00001812691,0.000005038502,0.00002451069,0.0001734278,0.187487,0.00001860485,0.04922877,0.00003520108,0.7629176],"study_design_scores_gemma":[0.0002582151,0.00007232288,0.0003397666,0.0001471461,0.000003129152,0.00002210763,7.53266e-8,0.9436241,0.0001920203,0.05384862,0.001015869,0.0004766649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000144296,0.00009912097,0.9869182,0.002548417,0.001009367,0.000427186,0.000003135977,0.0002236464,0.008756545],"genre_scores_gemma":[0.03443419,0.00003239171,0.9624355,0.00181559,0.0002158559,0.00001419876,0.00000961601,0.00002853933,0.001014071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7624409,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845673057410436,"score_gpt":0.2484697395635229,"score_spread":0.2300130089894185,"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."}}