{"id":"W2109245735","doi":"10.1109/issre.1996.558895","title":"Data partition based reliability modeling","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Software quality; Computer science; Reliability (semiconductor); Partition (number theory); Reliability engineering; Data mining; Software; Data modeling; Measure (data warehouse); Software development; Mathematics; Engineering; Database","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":[0.0009425252,0.00007224817,0.0001056252,0.00006539032,0.000118178,0.0001590025,0.001584659,0.00004300181,0.0005558252],"category_scores_gemma":[0.0005061763,0.0000595825,0.00005018564,0.0005037322,0.00003222705,0.0008112753,0.0004621481,0.000121883,0.0003536635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132588,"about_ca_system_score_gemma":0.00002506763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000761148,"about_ca_topic_score_gemma":0.00001638129,"domain_scores_codex":[0.9984665,0.0001139178,0.0002035564,0.0005677836,0.0004146046,0.0002336355],"domain_scores_gemma":[0.9971688,0.0001830983,0.00001894473,0.002416506,0.0001131414,0.00009955401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000154044,0.002366985,0.01481183,0.0001948375,0.0000705971,0.00003362895,0.0003270163,0.5396134,0.0003648424,0.0274559,0.04188241,0.3728631],"study_design_scores_gemma":[0.00008912574,0.00001375405,0.00004901215,0.000004199568,0.000002592317,5.110186e-7,0.000003441259,0.9945111,0.00007741052,0.002653935,0.002516467,0.00007845492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005879526,0.0000562229,0.98715,0.004347197,0.00003873962,0.00006902935,0.000005307591,0.0002715317,0.00218245],"genre_scores_gemma":[0.9241313,0.00002153005,0.07530747,0.0002890107,0.00002762384,0.000006237299,0.00001510882,0.000003133301,0.0001985585],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9182518,"threshold_uncertainty_score":0.6085896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1737354979148774,"score_gpt":0.3217346901195609,"score_spread":0.1479991922046835,"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."}}