{"id":"W4417294610","doi":"10.1007/s10515-025-00583-9","title":"Automatic assistance to mitigate rollback inconsistencies in collaborative edits","year":2025,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Saskatchewan","funders":"","keywords":"Rollback; Quality (philosophy); Consistency (knowledge bases); Undo; Collaborative editing; Key (lock); Stack (abstract data type); Exploit","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":[0.006259827,0.001434043,0.001265312,0.003109558,0.001550814,0.002786153,0.004263756,0.002955257,0.005851936],"category_scores_gemma":[0.05843108,0.0008549128,0.0006249698,0.001859095,0.0007747056,0.003785494,0.004559426,0.002123631,0.003012273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209183,"about_ca_system_score_gemma":0.002312664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935041,"about_ca_topic_score_gemma":0.004297467,"domain_scores_codex":[0.9881666,0.00297638,0.000930751,0.002278213,0.005089175,0.0005589369],"domain_scores_gemma":[0.9338049,0.03278506,0.004965812,0.01421134,0.01307433,0.00115852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001339537,0.0006420233,0.01223074,0.0006185399,0.0001368278,0.001603171,0.003044265,0.01470537,0.0423795,0.005727298,0.03095546,0.8866173],"study_design_scores_gemma":[0.0003033297,0.0006200032,0.009498927,0.0002393501,0.000352608,0.002913561,0.002018269,0.756721,0.1499735,0.01727752,0.05981249,0.0002694169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1555546,0.0006774037,0.7555549,0.001025755,0.0005816663,0.0004132749,0.00115756,0.07776649,0.0072684],"genre_scores_gemma":[0.5789835,0.0001680333,0.4088857,0.0002944633,0.0001488358,0.0001126629,0.002084414,0.002619692,0.006702679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006259827,"threshold_uncertainty_score":0.03310555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004495158611059191,"score_gpt":0.2312673177474812,"score_spread":0.226772159136422,"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."}}