{"id":"W2103473627","doi":"10.1109/icc.1991.162297","title":"The RQMS as an evolving system of software quality measurements","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"CLARITY; Statement (logic); Quality (philosophy); Computer science; Set (abstract data type); Software quality; Reliability (semiconductor); Field (mathematics); Software; Focus (optics); Software engineering; Software development; Telecommunications; Engineering management; Engineering; Operating system; Programming language; Mathematics","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":[0.002534218,0.00008965252,0.0001758148,0.00004302714,0.0003213677,0.0002425886,0.001404781,0.00004567485,0.00008081426],"category_scores_gemma":[0.00114635,0.00005559342,0.0001148819,0.0005174011,0.00007907807,0.000452295,0.000222647,0.0001069152,0.0001256684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008261325,"about_ca_system_score_gemma":0.00003717353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004828596,"about_ca_topic_score_gemma":0.00006372642,"domain_scores_codex":[0.9974871,0.000463233,0.0003689672,0.0003200377,0.001081342,0.0002793118],"domain_scores_gemma":[0.9976281,0.0005215371,0.00009316218,0.001136394,0.0005020336,0.0001188088],"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":[0.00002393861,0.001161585,0.2436573,0.0006576478,0.0004693291,0.00001381553,0.003427047,0.0005160508,0.00187263,0.1248765,0.003952228,0.619372],"study_design_scores_gemma":[0.001834864,0.0008519281,0.08487313,0.0003539404,0.00006719467,0.00003737339,0.003162661,0.8708078,0.01928231,0.01238715,0.004996205,0.001345445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1308699,0.001702584,0.8488084,0.00121478,0.0003150296,0.0004504945,0.000002434974,0.0008537266,0.01578266],"genre_scores_gemma":[0.990148,0.00001866919,0.009124435,0.00003547506,0.00002077372,0.000009209232,3.545019e-7,0.000004124992,0.0006389346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8702918,"threshold_uncertainty_score":0.2610456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020569207286478,"score_gpt":0.3351533014209943,"score_spread":0.2330963806923464,"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."}}