{"id":"W2401620832","doi":"10.1145/2901739.2903496","title":"The relationship between commit message detail and defect proneness in Java projects on GitHub","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Commit; Computer science; Explanatory power; Java; Code (set theory); Predictive power; Programming language; Database; 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":[0.004238392,0.0005737768,0.0003618026,0.003292643,0.0003154414,0.001243645,0.0004926489,0.0007189147,0.0006402478],"category_scores_gemma":[0.0461419,0.0003966193,0.000458072,0.002212167,0.0006507982,0.001856025,0.001022687,0.001084257,0.0003120328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006133643,"about_ca_system_score_gemma":0.0003818983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006883977,"about_ca_topic_score_gemma":0.009957419,"domain_scores_codex":[0.9981747,0.000460111,0.0002280764,0.0004333644,0.0005098855,0.0001938808],"domain_scores_gemma":[0.9014839,0.06656856,0.0192889,0.005404146,0.005181295,0.002073096],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001564246,0.0001228151,0.9678284,0.00004798802,0.0001074827,0.0001639698,0.0005495794,0.01596495,0.0007043058,0.0001309252,0.0005333986,0.01368984],"study_design_scores_gemma":[0.000005774968,0.0001856271,0.9246562,0.00002554658,0.00004780506,0.0002512062,0.0003080062,0.07301036,0.0008375768,0.0003281366,0.0003197554,0.00002393818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990467,0.00007464374,0.000426645,0.00004570009,0.000002954541,0.000005616468,0.0001865207,0.00007917517,0.0001319823],"genre_scores_gemma":[0.9984404,0.00004466191,0.0004425915,0.000007781182,0.000007035507,0.000006118434,0.0008068819,0.00002973408,0.0002147129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9957616,"threshold_uncertainty_score":0.02241504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06137851503349717,"score_gpt":0.2916415823247079,"score_spread":0.2302630672912107,"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."}}