{"id":"W4254059104","doi":"10.1145/2714064.2660218","title":"MIX10","year":2014,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Compiler; Programming language; MATLAB; Concurrency; Set (abstract data type); Parallel computing","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002591541,0.00008439293,0.00009636758,0.00006528816,0.00009716916,0.0001458969,0.001412822,0.00004070537,0.00001112598],"category_scores_gemma":[0.0002673196,0.00007428339,0.00002795755,0.0001621688,0.00002048191,0.0002273597,0.0002835223,0.00007002852,0.0001332962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006551744,"about_ca_system_score_gemma":0.0000121242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001769604,"about_ca_topic_score_gemma":0.000003133475,"domain_scores_codex":[0.999275,0.00006381491,0.0001224794,0.0002282308,0.00014073,0.000169689],"domain_scores_gemma":[0.9988474,0.0002676547,0.00006836199,0.0007206562,0.00003899315,0.00005698997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001547148,0.0002256653,0.01190411,0.00008027592,0.00005916928,0.00002345714,0.002442887,0.02530191,0.0009968827,0.4898835,0.09773421,0.3713324],"study_design_scores_gemma":[0.0003651601,0.0002063252,0.005565242,0.0000404393,0.000008711115,0.0000129424,0.00001026877,0.842205,0.006984167,0.03066694,0.1134304,0.0005043985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007030567,0.00004905794,0.9711375,0.001359029,0.0002229723,0.00004883683,3.842438e-7,0.0008589901,0.01929263],"genre_scores_gemma":[0.6450301,0.000003816727,0.35399,0.0006678624,0.0000701518,0.000002273769,0.000001846247,0.000004112899,0.0002298099],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8169031,"threshold_uncertainty_score":0.3029189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169944532829507,"score_gpt":0.2546041606525049,"score_spread":0.2376097073695541,"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."}}