{"id":"W6930131066","doi":"10.5281/zenodo.10963218","title":"Refactoring Dataset for SOEN 6491 Software Refactoring, Winter 2024 - Team Alpha","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dermatoglyphics and Human Traits","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Code refactoring; Software; Source code; Code (set theory); Timeline; Software quality; Software maintenance","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004575782,0.000399459,0.0002923714,0.0002454896,0.001084746,0.001199257,0.001653427,0.0003461903,0.004729469],"category_scores_gemma":[0.0005105528,0.0004107426,0.0001624004,0.0001640802,0.0001397082,0.00002521972,0.002378308,0.0005822254,0.009135044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009870753,"about_ca_system_score_gemma":0.00001796115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254757,"about_ca_topic_score_gemma":0.000004375322,"domain_scores_codex":[0.997526,0.0001198099,0.0004100213,0.001008009,0.0003695097,0.0005666707],"domain_scores_gemma":[0.998076,0.00001522364,0.0001668886,0.001145866,0.0003561121,0.0002399513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007058543,0.00007829474,2.984618e-7,0.0005433587,0.000208639,0.00001619657,0.00004637531,0.000003485013,0.001548015,0.00002988187,0.993473,0.003981905],"study_design_scores_gemma":[0.0003885318,0.0003507705,0.000008600867,0.0001393885,0.00009415916,0.00008492955,0.0000377294,0.000006293379,0.0005810947,0.00009664627,0.9977598,0.0004520317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001634309,0.0004355492,0.0003286753,0.0001131588,0.0007456269,0.0005816757,0.9956568,0.0001617058,0.001813303],"genre_scores_gemma":[0.0005090365,0.0004491862,0.0001201688,0.0002122714,0.001221378,4.842847e-7,0.9937533,0.001530694,0.002203522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004405575,"threshold_uncertainty_score":0.9998376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319848906880022,"score_gpt":0.2831079581473772,"score_spread":0.249909469078577,"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."}}