{"id":"W2138203448","doi":"10.1109/icsecompanion.2007.56","title":"On Sufficiency of Mutants","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mutation; Mutation testing; Computer science; Test suite; Set (abstract data type); Selection (genetic algorithm); Variable (mathematics); Process (computing); Regression analysis; Data mining; Algorithm; Artificial intelligence; Machine learning; Mathematics; Test case; Programming language; Genetics; Biology","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":[0.0004169697,0.00004263072,0.00005553514,0.00008687174,0.00002333568,0.00001052988,0.0003766491,0.00002131451,0.000007731312],"category_scores_gemma":[0.0002306959,0.00003332154,0.00001945356,0.0002638825,0.00001993119,0.00004904206,0.00005798362,0.00003723917,0.00001520976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008237865,"about_ca_system_score_gemma":0.0000142342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002897622,"about_ca_topic_score_gemma":0.000001278031,"domain_scores_codex":[0.9994841,0.000006225945,0.0001115475,0.0001230782,0.0001495841,0.000125525],"domain_scores_gemma":[0.9992645,0.0003229811,0.00003420618,0.00030968,0.00003863417,0.00002999433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000553485,0.0002264703,0.005756732,0.000007866207,0.000002931958,0.00002666712,0.0003543419,0.000008060098,0.0008994425,0.7707176,0.01374432,0.20825],"study_design_scores_gemma":[0.0003616989,0.001301332,0.04892714,0.000123947,0.000003145778,0.00005894737,0.000009972156,0.0226739,0.1844903,0.7408303,0.0007545315,0.0004647829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04674694,0.000007854877,0.9097506,0.00005025691,0.00007670546,0.00002797736,1.070236e-7,0.004100256,0.03923926],"genre_scores_gemma":[0.8033654,2.814529e-7,0.1963582,0.0001793999,0.000005446047,3.078684e-7,4.615036e-8,0.000001681636,0.00008925663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7566185,"threshold_uncertainty_score":0.1358813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402496819549729,"score_gpt":0.2740244165764556,"score_spread":0.2599994483809583,"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."}}