{"id":"W2914489208","doi":"10.1109/tse.2019.2897300","title":"Which Commits Can Be CI Skipped?","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Commit; Computer science; Process (computing); Java; Software engineering; Database; Programming language","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":[0.007260547,0.001199761,0.0009675661,0.003972981,0.001174648,0.002616443,0.001822099,0.001175127,0.001116091],"category_scores_gemma":[0.05973486,0.0007372037,0.001111783,0.00221938,0.0007739268,0.002548783,0.001548047,0.002177959,0.0009600546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009759408,"about_ca_system_score_gemma":0.003997928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092007,"about_ca_topic_score_gemma":0.01924554,"domain_scores_codex":[0.9893652,0.000993974,0.001331597,0.00278184,0.004709085,0.0008183306],"domain_scores_gemma":[0.9314846,0.02850347,0.01377242,0.009772255,0.01431302,0.002154173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008293065,0.000347874,0.4733503,0.001335555,0.0003152367,0.003153484,0.002439291,0.01920859,0.03673761,0.005555545,0.01552856,0.4411986],"study_design_scores_gemma":[0.0001606544,0.00146015,0.306354,0.001281345,0.0008984128,0.008000094,0.005533331,0.4669301,0.1045413,0.02751823,0.07687652,0.0004459143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7270205,0.002964244,0.2375741,0.001706798,0.0007254721,0.0008130312,0.00404068,0.01585926,0.009295912],"genre_scores_gemma":[0.8415142,0.0009763623,0.1435395,0.0006325332,0.0001483173,0.0002285004,0.007193874,0.001214574,0.004552281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092007,"threshold_uncertainty_score":0.03839791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276803651685053,"score_gpt":0.2325881247438001,"score_spread":0.2198200882269496,"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."}}