{"id":"W4401537664","doi":"10.1109/tse.2024.3443741","title":"Predicting the First Response Latency of Maintainers and Contributors in Pull Requests","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Concordia University","funders":"","keywords":"Computer science; Latency (audio); Parallel computing; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0008218868,0.0001340156,0.000154974,0.0002224372,0.00008244454,0.00006162425,0.0002352126,0.00007950867,0.000002641117],"category_scores_gemma":[0.00009020693,0.00009932357,0.00006402683,0.0005956168,0.00003503083,0.0003174799,0.000004412772,0.0003001271,0.00000391655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051153,"about_ca_system_score_gemma":0.00005770957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007129892,"about_ca_topic_score_gemma":0.00002135084,"domain_scores_codex":[0.9990225,0.0000401065,0.0002898614,0.0002593103,0.0001699358,0.0002182528],"domain_scores_gemma":[0.9986893,0.0008934415,0.00002556845,0.0003122645,0.00003450061,0.00004494679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002938987,0.0001797975,0.03442774,0.002009685,0.0002242016,0.0001845984,0.01442421,0.8990997,0.001122688,0.001354555,0.0001157196,0.04656321],"study_design_scores_gemma":[0.0008440827,0.000407694,0.0586993,0.002316121,0.00004017362,0.0001774056,0.00016125,0.9245999,0.009690968,0.0001456999,0.002327166,0.0005902355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3627081,0.0002735379,0.6355937,0.0002376216,0.0007042771,0.0001429205,0.000006654542,0.0003311606,0.000002085477],"genre_scores_gemma":[0.9972082,0.00004851553,0.002624711,0.00001910483,0.00002098361,0.00004234151,2.202588e-7,0.00001327876,0.00002265829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6345001,"threshold_uncertainty_score":0.4050297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005120476108220783,"score_gpt":0.2077019446545747,"score_spread":0.2025814685463539,"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."}}