{"id":"W2899817180","doi":"10.1007/s10664-018-9665-y","title":"An empirical study of patch uplift in rapid release development pipelines","year":2018,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Geology; Channel (broadcasting); Lead (geology); Computer science; Paleontology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004777736,0.000245715,0.0002572842,0.001746617,0.001093863,0.00160394,0.001026431,0.001109713,0.005540533],"category_scores_gemma":[0.0965687,0.0003822416,0.0002652953,0.001968666,0.001275648,0.003704807,0.001375409,0.002236716,0.000756643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395078,"about_ca_system_score_gemma":0.001352964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008194193,"about_ca_topic_score_gemma":0.009634121,"domain_scores_codex":[0.9972378,0.0008858359,0.000199402,0.000395598,0.0008620489,0.0004193709],"domain_scores_gemma":[0.8134998,0.1225069,0.04277676,0.006888499,0.00921692,0.00511119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007566218,0.002835333,0.9227969,0.0001611344,0.00005829839,0.0007578267,0.01204501,0.002815583,0.001978795,0.004738539,0.002573181,0.04848283],"study_design_scores_gemma":[0.00007935046,0.001228849,0.9656322,0.00008407593,0.00004918659,0.0003407896,0.0141363,0.01178434,0.0009571841,0.001810843,0.003860981,0.00003594623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977724,0.00005062127,0.0003737557,0.0001347522,0.000002463861,0.00002207674,0.00005524402,0.00002123974,0.00156737],"genre_scores_gemma":[0.999032,0.00003213973,0.0002881403,0.00002426059,0.000004949693,0.00001247091,0.0001027683,0.000008322919,0.0004949665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008194193,"threshold_uncertainty_score":0.02526736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303537718028712,"score_gpt":0.3249213934817224,"score_spread":0.2918860163014353,"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."}}