{"id":"W2383417445","doi":"10.1145/2884781.2884844","title":"RETracer","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Crash; Computer science; TRACE (psycholinguistics); Software; Semantics (computer science); Computer security; Software bug; World Wide Web; Data science; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009722133,0.00002357256,0.00002157041,0.00003157139,0.00001000044,0.00002189813,0.0003581197,0.00001338499,0.0001428242],"category_scores_gemma":[0.0002387731,0.00001251429,0.00001022586,0.0001105889,0.000007683868,0.0001660713,0.00009612762,0.0000200936,0.0008021182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001496662,"about_ca_system_score_gemma":0.00001154936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001827257,"about_ca_topic_score_gemma":2.712029e-7,"domain_scores_codex":[0.9996252,0.000004943185,0.00003059998,0.0001009201,0.0001233358,0.0001149654],"domain_scores_gemma":[0.9993854,0.0002660665,0.000002763194,0.0002862026,0.00001999674,0.00003961182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000001027754,0.00001860672,0.03289196,0.000004045517,0.000007946063,0.00002395722,0.00007068484,0.000003238448,0.01557835,0.2535082,0.0522059,0.6456861],"study_design_scores_gemma":[0.0009845373,0.0001645289,0.5441961,0.00005453848,0.00000102178,0.00005485454,0.000003025504,0.005155073,0.1475684,0.01596367,0.2852504,0.0006039007],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00968032,0.00001186574,0.9837051,0.002288349,0.0001196315,0.00001786747,6.595535e-8,0.0003887544,0.003788071],"genre_scores_gemma":[0.9436529,0.000002566922,0.0461395,0.00005519284,0.00002593505,0.000002799743,9.674e-9,0.000002642706,0.0101184],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9375656,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595387759684017,"score_gpt":0.2555717735094039,"score_spread":0.2396178959125637,"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."}}