{"id":"W2005680430","doi":"10.1109/tse.2014.2383381","title":"Range Fixes: Interactive Error Resolution for Software Configuration","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Range (aeronautics); Constraint (computer-aided design); Software; Simple (philosophy); Theoretical computer science; String (physics); Programming language; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004373954,0.0003369404,0.0002932861,0.000494627,0.0002418024,0.0001767691,0.0006318698,0.0001786431,0.00001915013],"category_scores_gemma":[0.001021889,0.0003723192,0.0002073851,0.0005550327,0.00002842943,0.0008182538,0.000006386861,0.0004799573,0.0000910899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890689,"about_ca_system_score_gemma":0.00006224626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000014122,"about_ca_topic_score_gemma":0.000005133328,"domain_scores_codex":[0.997954,0.00005177956,0.000353709,0.0006217791,0.0004391163,0.0005796452],"domain_scores_gemma":[0.9960188,0.002760344,0.00006934218,0.000710711,0.0002469681,0.000193859],"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":[0.00008854911,0.0001597413,0.0001079396,0.0002564572,0.0001256056,0.000006165626,0.001036652,0.9323686,0.001128533,0.0007188778,0.0008239441,0.06317887],"study_design_scores_gemma":[0.001923973,0.0006623947,0.002238057,0.0003562517,0.00004309203,0.00004060067,0.00003213277,0.946726,0.0374502,0.0001538929,0.009325242,0.001048158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004365931,0.00003884315,0.9896363,0.00009451194,0.001949227,0.0005821486,0.00003173956,0.003294522,0.000006771404],"genre_scores_gemma":[0.720281,0.000006123234,0.2787056,0.00007659363,0.0001511006,0.0004891973,0.000008154164,0.00009328279,0.000188941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7159151,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912600793662666,"score_gpt":0.2607286729294038,"score_spread":0.2416026649927771,"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."}}