{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005433424,0.000232816,0.0001735846,0.0003207268,0.0000488264,0.0005570754,0.001574501,0.0000867089,0.00006279189],"category_scores_gemma":[0.002029052,0.0002488766,0.00005509265,0.0002614886,0.00001938016,0.0009744894,0.0003094477,0.0004050791,0.0001519371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170886,"about_ca_system_score_gemma":0.0003361914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002680281,"about_ca_topic_score_gemma":0.000001716426,"domain_scores_codex":[0.9976874,0.00003361556,0.0002764889,0.0005416837,0.001088405,0.0003724362],"domain_scores_gemma":[0.9982088,0.000279993,0.00005684408,0.0006695186,0.0004915047,0.0002932946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004161011,0.0003048356,0.02186417,0.00003747248,0.0001668836,0.0004581911,0.001435619,0.1068957,0.001819483,0.8237646,0.001331334,0.04188012],"study_design_scores_gemma":[0.0009877339,0.0005190197,0.01671383,0.0002375689,0.000005723626,0.0001683342,0.00007078683,0.9599493,0.002403056,0.003754401,0.01431439,0.0008759103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1140776,0.00002030198,0.881225,0.0003225081,0.001743513,0.0001484015,0.000008291549,0.001313897,0.001140431],"genre_scores_gemma":[0.7920974,0.000006845526,0.207193,0.0001202002,0.0001874112,0.00005300226,0.00001806382,0.00003096385,0.0002931107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8530536,"threshold_uncertainty_score":0.9999964,"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."}}