{"id":"W1980099301","doi":"10.1145/1594156.1594165","title":"Selection of customers for operational and usage profiling","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Profiling (computer programming); Computer science; Selection (genetic algorithm); Artificial intelligence; Operating system","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":[0.0002675538,0.00002640733,0.00005419201,0.00005694744,0.00005448163,0.00003707838,0.00009315366,0.00001719659,0.000006546228],"category_scores_gemma":[0.00007472917,0.00002122487,0.00002339432,0.0002086263,0.00001384655,0.000178787,0.00001439171,0.00002575399,8.699417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000877715,"about_ca_system_score_gemma":0.00003611576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005676487,"about_ca_topic_score_gemma":0.000001466275,"domain_scores_codex":[0.9995969,0.00001491304,0.00008069419,0.0001219327,0.0001135221,0.00007202574],"domain_scores_gemma":[0.9997145,0.00008164748,0.00001228437,0.0000624958,0.0001049036,0.00002414767],"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":[0.00002766962,0.0002406783,0.02262831,0.00007581511,0.00004397276,4.290852e-7,0.0003294256,0.001940853,0.08215049,0.5012094,0.0006133671,0.3907396],"study_design_scores_gemma":[0.0002351305,0.0002210304,0.006555408,0.00000505038,0.000003638527,0.000002664594,0.00001720057,0.8990156,0.08772811,0.005496093,0.0006439308,0.00007613849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08086588,0.00001867079,0.917453,0.000828868,0.00001102276,0.0001219252,4.948739e-7,0.00003255747,0.0006675859],"genre_scores_gemma":[0.8791604,0.000006481671,0.1205515,0.00007603988,0.00001136295,0.000003833776,9.650252e-7,6.031745e-7,0.0001888312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8970748,"threshold_uncertainty_score":0.08655252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022252734972081,"score_gpt":0.308693057931512,"score_spread":0.2884705305817912,"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."}}