{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009663887,0.0004118163,0.0005895465,0.001904094,0.0005251639,0.001101268,0.0004085298,0.0006886247,0.005198943],"category_scores_gemma":[0.004165795,0.0001796485,0.000229647,0.001043973,0.0001508174,0.0006301044,0.0005457459,0.0005261695,0.004347184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779212,"about_ca_system_score_gemma":0.0004026454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426773,"about_ca_topic_score_gemma":0.0009246014,"domain_scores_codex":[0.9988,0.0002684597,0.0001021471,0.0001617574,0.0003322577,0.000335209],"domain_scores_gemma":[0.9970345,0.0004611291,0.0002223315,0.0001386295,0.001460158,0.0006831568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004175065,0.003848166,0.7274249,0.0003673738,0.00006741664,0.005075774,0.00486423,0.001248454,0.02892361,0.001576161,0.0354833,0.1869455],"study_design_scores_gemma":[0.0003123398,0.002823795,0.8906581,0.0002238813,0.0001321749,0.006971247,0.01537571,0.02455978,0.01916653,0.001172848,0.03843321,0.00017044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820145,0.000279232,0.005224621,0.0005843765,0.00004706264,0.001861156,0.003224082,0.0001990307,0.00656584],"genre_scores_gemma":[0.9845525,0.0002106896,0.005548723,0.000530488,0.00005040898,0.001800778,0.002796072,0.00005035368,0.004459949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005198943,"threshold_uncertainty_score":0.01739222,"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."}}