{"id":"W4389491870","doi":"10.1145/3637187","title":"Session details: Session 3B: GPUs","year":2023,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Computer architecture; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0002954014,0.00009291515,0.00009582743,0.0001660131,0.0001704978,0.0001300296,0.0005700087,0.00005984618,0.00002865364],"category_scores_gemma":[0.00003873986,0.00007230927,0.00004186911,0.0008553478,0.00001310782,0.0003002587,0.0003980203,0.00008135454,0.0004463968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001742687,"about_ca_system_score_gemma":0.0000348374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010365,"about_ca_topic_score_gemma":8.754494e-7,"domain_scores_codex":[0.9990671,0.00005865925,0.0001570914,0.0002865025,0.0002098562,0.0002207862],"domain_scores_gemma":[0.9993514,0.0000688049,0.00004831156,0.0004020639,0.00005828092,0.000071159],"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":[0.000008569737,0.0001323813,0.003351068,0.00004186862,0.0000189089,0.00008180506,0.0009827457,0.02514837,0.004637788,0.0826409,0.4705448,0.4124108],"study_design_scores_gemma":[0.0001427921,0.00003837619,0.001565874,0.00003871155,0.000001244165,0.000007470619,0.00001745291,0.965874,0.01392536,0.005856842,0.01234969,0.0001821569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005664414,0.00002426095,0.9726104,0.001008909,0.0002724954,0.00007599344,2.035932e-7,0.004421724,0.01592157],"genre_scores_gemma":[0.6144529,0.0000915967,0.3743529,0.0007024331,0.0000712467,0.00001417827,0.000007722771,0.00001375032,0.01029323],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9407257,"threshold_uncertainty_score":0.5737677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661419945722636,"score_gpt":0.2940582229055829,"score_spread":0.2674440234483565,"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."}}