{"id":"W4251485445","doi":"10.1145/1012888.1005689","title":"Some systems, applications and models I have known","year":2004,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Surprise; Variety (cybernetics); Relevance (law); Computer science; Field (mathematics); Management science; Data science; Operations research; Artificial intelligence; Psychology; Mathematics; Social psychology; Engineering; Political science","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":[0.00303405,0.0008861417,0.0008180423,0.00166705,0.001630453,0.005512685,0.001346217,0.003070937,0.01714342],"category_scores_gemma":[0.008408639,0.000585802,0.000827464,0.003572688,0.002652931,0.009950112,0.0014919,0.005081368,0.01046597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120904,"about_ca_system_score_gemma":0.002492273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262859,"about_ca_topic_score_gemma":0.002957254,"domain_scores_codex":[0.9977497,0.0008537351,0.0001712996,0.0004217254,0.0006753046,0.0001281238],"domain_scores_gemma":[0.9967394,0.001474233,0.0003328731,0.000653951,0.0006599542,0.0001396028],"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":[0.00003204597,0.00006914942,0.001702173,0.001263655,0.00007079857,0.0002019928,0.000582233,0.005073435,0.0004182647,0.6772355,0.1551476,0.158203],"study_design_scores_gemma":[0.000008445329,0.00005257817,0.0006102651,0.0004525331,0.00002316002,0.0003830453,0.0002423029,0.003033814,0.0002435539,0.2041537,0.7907703,0.00002639806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006040712,0.322424,0.1869788,0.2605582,0.008498037,0.0002238156,0.001924885,0.0009878463,0.2123638],"genre_scores_gemma":[0.1448944,0.5088215,0.1140946,0.04019934,0.01441149,0.0009929687,0.001974689,0.0005291009,0.1740819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01714342,"threshold_uncertainty_score":0.05735046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3014571594988885,"score_gpt":0.4673791476071729,"score_spread":0.1659219881082845,"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."}}