{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001593566,0.001501799,0.001773236,0.0007350526,0.001935084,0.005130569,0.001453783,0.003683757,0.7555791],"category_scores_gemma":[0.002680143,0.0004693063,0.001665333,0.0009718206,0.000408708,0.001605564,0.003083642,0.003189287,0.5120976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080112,"about_ca_system_score_gemma":0.001727468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433357,"about_ca_topic_score_gemma":0.002663442,"domain_scores_codex":[0.999353,0.0001045499,0.00002785055,0.0001608044,0.0002092446,0.0001446381],"domain_scores_gemma":[0.9976145,0.0002698827,0.0000683299,0.0002851546,0.0006748748,0.00108719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003184273,0.00006525798,0.0001040165,0.0001664985,0.00001523542,0.00002824115,0.0000153116,0.000117265,0.001138438,0.0009952737,0.9688295,0.02820646],"study_design_scores_gemma":[0.00009232527,0.0001219323,0.0004549804,0.00009958333,0.00001372137,0.00007615714,0.00001983051,0.0003419872,0.001044473,0.001535382,0.996185,0.00001463412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004037203,0.01481345,0.0226605,0.03292387,0.1211984,0.002205097,0.02685646,0.01185841,0.7634466],"genre_scores_gemma":[0.01717167,0.005045034,0.004698351,0.004126277,0.01749851,0.0008073655,0.009901397,0.003615929,0.9371355],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2444209,"threshold_uncertainty_score":0.3486367,"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."}}