{"id":"W3177400593","doi":"10.1109/msr52588.2021.00050","title":"Rollback Edit Inconsistencies in Developer Forum","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Rollback; Computer science; Consistency (knowledge bases); Quality (philosophy); Collaborative editing; World Wide Web; Software quality; Information retrieval; Software; Data science; Database; Programming language; Software development; Artificial intelligence; Database transaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06095632,0.0007819612,0.0007458723,0.009505985,0.002397061,0.003534912,0.001886063,0.001715643,0.001705538],"category_scores_gemma":[0.318253,0.0009993674,0.0007382492,0.00481535,0.002343403,0.007601138,0.005347069,0.001576948,0.0003491965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658801,"about_ca_system_score_gemma":0.003048317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003658762,"about_ca_topic_score_gemma":0.004363828,"domain_scores_codex":[0.9174632,0.04149265,0.008415374,0.00636954,0.02421798,0.00204133],"domain_scores_gemma":[0.449039,0.4120156,0.07568052,0.02669566,0.03463901,0.001930136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000777584,0.0004194277,0.4891564,0.001646459,0.0002516596,0.00244677,0.1369376,0.004093565,0.01200134,0.01364834,0.006616511,0.3320044],"study_design_scores_gemma":[0.0002877895,0.001206469,0.5637048,0.003415853,0.0008274287,0.005904882,0.1250909,0.1084614,0.04363544,0.04909687,0.09755672,0.0008114185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8813058,0.0007394686,0.10835,0.00113295,0.0001258126,0.0006991067,0.0007517875,0.00289687,0.003998147],"genre_scores_gemma":[0.9258332,0.0001875503,0.07011483,0.000318772,0.00006184175,0.0003769555,0.001040934,0.0004533317,0.001612721],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06095632,"threshold_uncertainty_score":0.3223717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746538467773005,"score_gpt":0.2492278717460679,"score_spread":0.2317624870683379,"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."}}