{"id":"W1969427878","doi":"10.1109/ms.2003.1207449","title":"Inspection's role in software quality assurance","year":2003,"lang":"en","type":"article","venue":"IEEE Software","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Software quality analyst; Quality assurance; Software quality; Software quality control; Software engineering; Software quality assurance; Computer science; Software security assurance; Software; Software inspection; Verification and validation; Quality (philosophy); Software peer review; Software development; Software construction; Engineering; Reliability engineering; Operations management; Programming language; Computer security; Information security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009268125,0.0002412447,0.0002883751,0.0002949829,0.0002329851,0.0001254408,0.0009989709,0.0001508646,0.00002927218],"category_scores_gemma":[0.006048511,0.0002606892,0.00009839501,0.001392029,0.00006028477,0.000642691,0.0001414515,0.000491086,0.0002060781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000262406,"about_ca_system_score_gemma":0.0002610503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478847,"about_ca_topic_score_gemma":0.0001229586,"domain_scores_codex":[0.9973751,0.0002281688,0.0003739707,0.0006928032,0.0006613926,0.0006685964],"domain_scores_gemma":[0.9969714,0.001521453,0.00007325065,0.00107953,0.0001718334,0.0001824822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001043407,0.0002413241,0.9646093,0.0001311964,0.00002939912,0.0001152382,0.001594578,0.007362474,0.0004642917,0.005008269,0.002810934,0.01762252],"study_design_scores_gemma":[0.001835976,0.0001462423,0.9416873,0.0001831723,0.000004870634,0.00009854708,0.00008605285,0.001108084,0.01199175,0.01349939,0.02796732,0.001391245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.21982,0.0005027895,0.7760724,0.00009841177,0.001070483,0.0002315197,0.000007123499,0.002014488,0.0001827913],"genre_scores_gemma":[0.8671142,0.00001707754,0.1322834,0.0001199138,0.00006446474,0.00007856517,0.000001954366,0.00003310939,0.0002872896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6472942,"threshold_uncertainty_score":0.9999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007220661120477,"score_gpt":0.2847007827377494,"score_spread":0.2646285761265446,"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."}}