{"id":"W2098673848","doi":"10.1145/2025113.2025155","title":"High-impact defects","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Surprise; Computer science; Software bug; Software; Guard (computer science); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488996,0.0008686487,0.0004563142,0.00356081,0.0004539839,0.001629515,0.00118656,0.001077633,0.007463507],"category_scores_gemma":[0.03513886,0.0004109459,0.0009112291,0.002245259,0.0007851847,0.002023298,0.001377407,0.001257558,0.001304359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205373,"about_ca_system_score_gemma":0.0008173664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681964,"about_ca_topic_score_gemma":0.004904652,"domain_scores_codex":[0.9961225,0.0003533962,0.0002582555,0.0007214156,0.002105411,0.0004389608],"domain_scores_gemma":[0.9297048,0.04091702,0.01519176,0.004704658,0.008238228,0.001243595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004522988,0.000817493,0.7563042,0.0009114047,0.0002508126,0.001758449,0.0006735242,0.04323078,0.00584654,0.008121073,0.008652071,0.1729814],"study_design_scores_gemma":[0.0000673042,0.0009783766,0.803194,0.0003856299,0.0002895528,0.004092711,0.000807506,0.1461887,0.01196907,0.01481828,0.01705438,0.0001544852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117868,0.001266863,0.05952458,0.0005891197,0.0001817023,0.0005423311,0.004960876,0.002829471,0.01831817],"genre_scores_gemma":[0.9839427,0.0003517597,0.008625834,0.0001106223,0.00002957658,0.00009302978,0.002968919,0.0001447368,0.003732851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007463507,"threshold_uncertainty_score":0.02496797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303628079213807,"score_gpt":0.2665415618860166,"score_spread":0.2335052810938785,"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."}}