{"id":"W4210960898","doi":"10.1145/1066328.1066333","title":"Ken Sevcik on Performance Evaluation","year":2005,"lang":"en","type":"article","venue":"Ubiquity","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009182128,0.00009095842,0.00009177215,0.00004159367,0.0001219052,0.00009944588,0.0005433876,0.00004263585,0.00002744052],"category_scores_gemma":[0.00002763995,0.00008069729,0.0000359125,0.0001814546,0.00001159722,0.0002588164,0.00009873284,0.00009728513,0.0007409089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009336877,"about_ca_system_score_gemma":0.00006144537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006874862,"about_ca_topic_score_gemma":0.000004494739,"domain_scores_codex":[0.9988784,0.00009089826,0.000152544,0.0002535164,0.0004208159,0.0002038466],"domain_scores_gemma":[0.9993012,0.00003839463,0.00006485126,0.0004474691,0.00009144672,0.00005662754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001270507,0.0001788996,0.002704741,0.0000239565,0.00001842061,0.000002002594,0.001263288,0.07083435,0.0001381391,0.01570333,0.02059778,0.8885224],"study_design_scores_gemma":[0.000270909,0.0000882439,0.02084409,0.0000292927,0.000003136053,0.00000703055,0.00000321139,0.9151779,0.0008078353,0.0001896,0.06244076,0.0001380012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442648,0.00004644505,0.08886112,0.001232451,0.0006395868,0.0002458061,0.000002689158,0.0003159061,0.06439119],"genre_scores_gemma":[0.9967732,0.000002431412,0.002162173,0.0003837555,0.0002722033,0.000009127939,0.000007226661,0.000003461683,0.0003864008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8883844,"threshold_uncertainty_score":0.9523132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079787501770583,"score_gpt":0.2782486367282507,"score_spread":0.2474507617105448,"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."}}