{"id":"W4396686516","doi":"10.1145/3629527.3651433","title":"AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and Control","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial intelligence; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.009205868,0.002094236,0.002892645,0.00197899,0.001175139,0.006478045,0.003370873,0.003176245,0.03521219],"category_scores_gemma":[0.007390967,0.0009146725,0.002298149,0.001292625,0.00128634,0.004041742,0.003215222,0.006203188,0.01978962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974947,"about_ca_system_score_gemma":0.004111932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007557484,"about_ca_topic_score_gemma":0.01091974,"domain_scores_codex":[0.9965031,0.0009469355,0.0001396011,0.0003811082,0.0016539,0.0003753523],"domain_scores_gemma":[0.9955977,0.001284362,0.0001296901,0.000713444,0.001448182,0.0008266236],"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":[0.0003500317,0.0002835338,0.0005856952,0.0002905341,0.0001618955,0.0001603255,0.00009347167,0.01242057,0.002526211,0.02559951,0.6625898,0.2949384],"study_design_scores_gemma":[0.00008043453,0.0003052507,0.001758598,0.0003382284,0.00008428832,0.000232692,0.0001070011,0.06960776,0.003894281,0.04469058,0.8788086,0.00009234723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007870357,0.05021818,0.7051083,0.03352372,0.06638586,0.0007400782,0.00479118,0.008218444,0.1231439],"genre_scores_gemma":[0.08737044,0.0455176,0.4167208,0.00511712,0.02030637,0.001234431,0.02018921,0.005234391,0.3983096],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03521219,"threshold_uncertainty_score":0.1177965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.190873047127776,"score_gpt":0.4330420432223309,"score_spread":0.2421689960945549,"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."}}