{"id":"W79425221","doi":"","title":"A fuzzy-based multimodel system for reasoning about the number of software defects: Research Articles","year":2005,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fuzzy logic; Software; Artificial intelligence; Function (biology); Machine learning; Data mining; Software engineering","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":[0.004421922,0.0001386971,0.0002639951,0.000428224,0.0001023575,0.000307051,0.00244935,0.0000736137,0.000005570962],"category_scores_gemma":[0.003007709,0.00009713963,0.0002405559,0.0003578009,0.0000822655,0.0003506992,0.0001683294,0.000374521,0.00004038732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740208,"about_ca_system_score_gemma":0.0003039795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008998404,"about_ca_topic_score_gemma":0.000004466652,"domain_scores_codex":[0.9963335,0.000253112,0.0009208128,0.000210727,0.001930524,0.0003513597],"domain_scores_gemma":[0.9912803,0.003878816,0.0004313708,0.000402913,0.003880229,0.0001264022],"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":[0.0005081617,0.0005893323,0.05589155,0.0007599905,0.00100386,0.0001315149,0.004316419,0.7807028,0.003159901,0.09274707,0.005686777,0.05450259],"study_design_scores_gemma":[0.001523016,0.0002804135,0.002118847,0.004123779,0.00002608874,0.0009417337,0.001296878,0.9339444,0.04637814,0.0006237438,0.008404278,0.0003386778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1267011,0.0009072906,0.8699282,0.0004590301,0.001518679,0.0003341835,0.0000112909,0.00005462798,0.00008559601],"genre_scores_gemma":[0.9583999,0.00001640824,0.04075699,0.00002170612,0.0006547684,0.00004665006,0.000001190825,0.00002096238,0.00008145567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8316988,"threshold_uncertainty_score":0.4551543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621005207150327,"score_gpt":0.3703374831358635,"score_spread":0.3082369624208308,"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."}}