{"id":"W2136988678","doi":"10.1109/icpc.2008.10","title":"Reusing Program Investigation Knowledge for Code Understanding","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reuse; Computer science; Task (project management); Set (abstract data type); Software engineering; Software; Software maintenance; Code (set theory); Code reuse; Software development; Programming language; Systems engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01026251,0.001620556,0.001579604,0.009598734,0.001510998,0.004987281,0.003338449,0.002261523,0.002226239],"category_scores_gemma":[0.1198004,0.001561947,0.0018526,0.004403931,0.002212877,0.01736546,0.004742883,0.003018502,0.0007329998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174158,"about_ca_system_score_gemma":0.00481626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006947,"about_ca_topic_score_gemma":0.01456782,"domain_scores_codex":[0.9908236,0.003505838,0.0007798351,0.001669445,0.002772209,0.0004491244],"domain_scores_gemma":[0.8765933,0.07402287,0.007346659,0.03393842,0.007369394,0.0007293687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002728396,0.0006877524,0.02625036,0.0009474944,0.0002328608,0.000645321,0.01176259,0.01392693,0.01526778,0.009749643,0.0026473,0.9176092],"study_design_scores_gemma":[0.0003172981,0.001731979,0.07933117,0.002584986,0.002168706,0.004219858,0.01060002,0.5545152,0.1056247,0.1545603,0.08350369,0.0008420662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966895,0.001907079,0.7846329,0.00184451,0.00003592077,0.0005745449,0.0005525803,0.006558159,0.007204873],"genre_scores_gemma":[0.5662198,0.0008415423,0.4293898,0.0002390905,0.00004241044,0.0001707922,0.001209033,0.0007484225,0.001139208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01026251,"threshold_uncertainty_score":0.05427396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2066191496039817,"score_gpt":0.3486421603469508,"score_spread":0.1420230107429691,"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."}}