{"id":"W4389208648","doi":"10.1145/3611643.3617851","title":"A Data Set of Extracted Rationale from Linux Kernel Commit Messages","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Commit; Computer science; Set (abstract data type); Kernel (algebra); Component (thermodynamics); Linux kernel; World Wide Web; Operating system; Programming language; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.00240582,0.001094177,0.0004309918,0.00503414,0.001302409,0.001160076,0.0008707254,0.00244241,0.003584245],"category_scores_gemma":[0.02918277,0.0004961069,0.0005335644,0.003203247,0.0006896914,0.001442851,0.0009920435,0.001776862,0.003335642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155084,"about_ca_system_score_gemma":0.002235199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007580893,"about_ca_topic_score_gemma":0.01706824,"domain_scores_codex":[0.9968048,0.0007636111,0.000621133,0.0005652781,0.001105459,0.0001397297],"domain_scores_gemma":[0.9496216,0.03599047,0.003539815,0.002657197,0.007495479,0.0006954934],"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":[0.003956593,0.001472566,0.07402628,0.02107256,0.0003308869,0.009070124,0.01956207,0.008302806,0.1260832,0.01132781,0.4142714,0.3105238],"study_design_scores_gemma":[0.0006712637,0.001045893,0.2206903,0.001899624,0.0002916533,0.003500988,0.007076093,0.02525911,0.07549302,0.009088245,0.6545013,0.000482502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2854458,0.001643577,0.03131204,0.001919901,0.0005365936,0.001278518,0.660008,0.007609784,0.01024582],"genre_scores_gemma":[0.1734737,0.0004919736,0.06496229,0.0004376422,0.00009957175,0.0019964,0.7524721,0.0009761909,0.005090106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007580893,"threshold_uncertainty_score":0.01507354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163188372886714,"score_gpt":0.3378937886042062,"score_spread":0.2215749513155347,"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."}}