{"id":"W1974908123","doi":"10.5555/2819009.2819054","title":"Code repurposing as an assessment tool","year":2015,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"","keywords":"Repurposing; Computer science; Code (set theory); Software engineering; Source code; Software; Code review; KPI-driven code analysis; Programming language; Software development; Static program analysis; Engineering; Set (abstract data type)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01236598,0.001242658,0.0008492877,0.00593166,0.00104556,0.004337313,0.002061008,0.001222608,0.007993612],"category_scores_gemma":[0.07310572,0.000474,0.0005156005,0.002266079,0.0009432713,0.00513452,0.00418312,0.002425326,0.004785858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007833167,"about_ca_system_score_gemma":0.001418449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000433162,"about_ca_topic_score_gemma":0.0006516932,"domain_scores_codex":[0.9773013,0.01119159,0.001082051,0.0013397,0.008224851,0.0008604258],"domain_scores_gemma":[0.9210273,0.03957439,0.005089418,0.007630346,0.02293873,0.003739818],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004275535,0.001456209,0.007548274,0.0008084122,0.00003166142,0.00102218,0.01149281,0.002857838,0.03349036,0.005754429,0.02095351,0.9141569],"study_design_scores_gemma":[0.0005817434,0.009039286,0.06963216,0.003297716,0.0003157547,0.01477619,0.01774122,0.152825,0.2021632,0.04322009,0.4851517,0.001256069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3303327,0.001013771,0.5599827,0.003565915,0.0006956789,0.003236922,0.0004618218,0.02736936,0.07334121],"genre_scores_gemma":[0.610981,0.0005304709,0.3624599,0.0007224,0.0001963574,0.001299366,0.0008317015,0.002457978,0.02052076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.987634,"threshold_uncertainty_score":0.06539834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06233157398028721,"score_gpt":0.363942044817729,"score_spread":0.3016104708374417,"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."}}