{"id":"W2097718994","doi":"10.1109/ccece.2002.1013039","title":"Multilayer perceptron discrimination of software quality in a biomedical data analysis system","year":2003,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"Larner College of Medicine, University of Vermont","keywords":"Computer science; Extensibility; Software; CLARITY; Supervisor; Software engineering; Software quality; Visualization; Software visualization; Reusability; Software development; Software construction; Data mining; 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":[0.0008584167,0.00006316401,0.0001720496,0.0001891297,0.00003340521,0.00003765161,0.0008993158,0.00003659861,0.00001994427],"category_scores_gemma":[0.0001445522,0.00005122929,0.0000338927,0.001170768,0.00003454426,0.0003488246,0.0002337676,0.00004954302,0.000009915588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003346031,"about_ca_system_score_gemma":0.00004113724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007134496,"about_ca_topic_score_gemma":0.000241355,"domain_scores_codex":[0.9988225,0.0000994011,0.000322732,0.0003901115,0.000246107,0.0001191384],"domain_scores_gemma":[0.9984317,0.0000930593,0.00008046919,0.001301853,0.00004212569,0.00005072122],"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":[0.000004557034,0.001498756,0.04183649,0.0003013859,0.0002798541,0.000007322767,0.003749386,0.00019849,0.001172995,0.4365349,0.001813455,0.5126024],"study_design_scores_gemma":[0.0003244435,0.00002674051,0.1203008,0.00002723499,0.00006994136,0.000002614784,0.001318893,0.8760312,0.0001929389,0.0001214169,0.001407981,0.0001757709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01817884,0.00001409524,0.9811357,0.0001073847,0.0000327095,0.00007040261,0.0000849697,0.00005758451,0.0003183095],"genre_scores_gemma":[0.6073288,0.000001160114,0.392464,0.00001091347,0.000004072169,0.000007803006,0.0001342518,0.000001655553,0.00004728886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8758327,"threshold_uncertainty_score":0.208907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06898670555010881,"score_gpt":0.3521942738173559,"score_spread":0.283207568267247,"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."}}