{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":41,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":41,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"a80308fc9c4a","filters":{"venue":"Automated Software Engineering"}},"results":[{"id":"W2039978418","doi":"10.1007/s10515-011-0098-8","title":"Maintainability defects detection and correction: a multi-objective approach","year":2012,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Code refactoring; Maintainability; Computer science; Sorting; Reliability engineering; Genetic programming; Software; Process (computing); Code (set theory); Software engineering; Programming language; Machine learning; Set (abstract data type); Engineering","authors":[{"name":"Ali Ouni","is_ca":true},{"name":"Marouane Kessentini","is_ca":false},{"name":"Houari Sahraoui","is_ca":true},{"name":"Mounir Boukadoum","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01086392201751171,"gpt":0.2388626032428608,"spread":0.2279986812253491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00666243,0.002977318,0.003209783,0.007613785,0.001044414,0.002771938,0.002811136,0.002059119,0.001772145],"category_scores_gemma":[0.007749815,0.00111861,0.002586615,0.002452761,0.0009360607,0.002287221,0.002357062,0.001149989,0.0003132056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615104,"about_ca_system_score_gemma":0.002565051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006229523,"about_ca_topic_score_gemma":0.007232349,"domain_scores_codex":[0.9946172,0.001493566,0.0004374933,0.0007828306,0.002295629,0.0003733755],"domain_scores_gemma":[0.9923029,0.003327869,0.001280151,0.0003368407,0.002512793,0.0002394577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003315667,0.0006827512,0.01039254,0.000564607,0.001014851,0.0001920374,0.0003278155,0.5722662,0.01646664,0.004884131,0.001045985,0.3918308],"study_design_scores_gemma":[0.00002089032,0.0002655796,0.002308897,0.00003242386,0.0001599176,0.00004990082,0.00007688255,0.9911329,0.002928964,0.002623524,0.0003661857,0.0000338173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02509182,0.0003524057,0.9724503,0.0001404654,0.0000221144,0.0001733986,0.0000871825,0.000393831,0.001288473],"genre_scores_gemma":[0.4196481,0.0002551315,0.5760536,0.0001069334,0.00006215704,0.0003918721,0.0003208239,0.0001820313,0.002979441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007613785,"threshold_uncertainty_score":0.03523469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967187747","doi":"10.1007/s10515-011-0093-0","title":"Prioritizing test cases with string distances","year":2011,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":125,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Test suite; String (physics); Computer science; Random testing; Code (set theory); Test case; Algorithm; Property (philosophy); Suite; Test (biology); Data mining; Mathematics; Machine learning; Programming language","authors":[{"name":"Yves Ledru","is_ca":false},{"name":"Alexandre Petrenko","is_ca":true},{"name":"Sergiy Boroday","is_ca":true},{"name":"Nadine Mandran","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01989486036119929,"gpt":0.2132109271948698,"spread":0.1933160668336705,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004832741,0.002283864,0.002147098,0.007902329,0.0006572924,0.002162747,0.002861511,0.001696307,0.005037046],"category_scores_gemma":[0.04158924,0.0007593984,0.001316186,0.003534724,0.001036982,0.003661551,0.00255093,0.001575755,0.0009981827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219757,"about_ca_system_score_gemma":0.002483366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002420063,"about_ca_topic_score_gemma":0.00447158,"domain_scores_codex":[0.9866136,0.00466725,0.001019888,0.001333214,0.005587504,0.0007785946],"domain_scores_gemma":[0.9504625,0.03825223,0.0024464,0.002701787,0.004791823,0.001345255],"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":[0.003220589,0.0009394062,0.02023135,0.001252972,0.0003200633,0.001342836,0.0003347789,0.1143297,0.05425624,0.02603723,0.005791992,0.7719429],"study_design_scores_gemma":[0.0003120395,0.001182329,0.004474725,0.0001647068,0.0003097588,0.0009413636,0.0002659297,0.86316,0.059774,0.06433971,0.004987905,0.00008749074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1964511,0.0008827432,0.7877273,0.0005868551,0.0001978494,0.0005529489,0.000527774,0.007391446,0.005681998],"genre_scores_gemma":[0.509549,0.0002315952,0.4851899,0.0002543803,0.0001018109,0.0002350657,0.001200708,0.0007752758,0.002462283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007902329,"threshold_uncertainty_score":0.02555829,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093046707","doi":"10.1007/s10515-020-00277-4","title":"Understanding machine learning software defect predictions","year":2020,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Exploit; Machine learning; Software bug; Software; Artificial intelligence; Boosting (machine learning); Source code; Set (abstract data type); Data mining; Principal (computer security); Decision tree; Predictive modelling; Programming language","authors":[{"name":"Geanderson E. dos Santos","is_ca":false},{"name":"Eduardo Figueiredo","is_ca":false},{"name":"Adriano Veloso","is_ca":false},{"name":"Markos Viggiato","is_ca":true},{"name":"Nívio Ziviani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04516996975354468,"gpt":0.2432856168383505,"spread":0.1981156470848059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034471,0.0005113644,0.0003845935,0.001102581,0.000354617,0.001524411,0.000988652,0.0009877929,0.001842271],"category_scores_gemma":[0.0117799,0.0003167433,0.0003786038,0.0006014045,0.0004449045,0.003810059,0.000682489,0.001338361,0.0004816321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007232684,"about_ca_system_score_gemma":0.0006548155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379912,"about_ca_topic_score_gemma":0.004116219,"domain_scores_codex":[0.9995121,0.0001478691,0.00003317693,0.0001085923,0.000147078,0.00005131492],"domain_scores_gemma":[0.9941663,0.004427723,0.0003238658,0.0003689728,0.0006523592,0.00006082324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00021073,0.0005971022,0.04755505,0.0003588524,0.0001348212,0.0006616471,0.0008998332,0.3025423,0.009574272,0.1038142,0.01606901,0.5175823],"study_design_scores_gemma":[0.000004469814,0.00002102992,0.001610978,0.00002100304,0.00001389518,0.00005096237,0.00009547794,0.9198642,0.002065122,0.07461838,0.00162935,0.000005067805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3721045,0.001069044,0.6119131,0.003612833,0.0001009327,0.00007930888,0.0009391448,0.002364038,0.007817058],"genre_scores_gemma":[0.9458072,0.000338745,0.05056746,0.0001612805,0.00006580776,0.00003769566,0.001059747,0.00008265714,0.001879433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00379912,"threshold_uncertainty_score":0.007553995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3185425515","doi":"10.1007/s10515-022-00337-x","title":"How to certify machine learning based safety-critical systems? A systematic literature review","year":2022,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Certification; Computer science; Life-critical system; Context (archaeology); Domain (mathematical analysis); Systematic review; Robustness (evolution); Engineering management; Artificial intelligence; Software; Engineering; Management; Political science","authors":[{"name":"Florian Tambon","is_ca":true},{"name":"Gabriel Laberge","is_ca":true},{"name":"Le An","is_ca":true},{"name":"Amin Nikanjam","is_ca":true},{"name":"Paulina Stevia Nouwou Mindom","is_ca":true},{"name":"Yann Pequignot","is_ca":true},{"name":"Foutse Khomh","is_ca":true},{"name":"Giulio Antoniol","is_ca":true},{"name":"Ettore Merlo","is_ca":true},{"name":"François Laviolette","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007356704105584707,"gpt":0.2339043536913897,"spread":0.226547649585805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0134689,0.001146545,0.002549055,0.007345375,0.0005537595,0.003159432,0.002121669,0.002564458,0.004125352],"category_scores_gemma":[0.1023952,0.0007066278,0.002598921,0.003675626,0.001716476,0.00512248,0.001685941,0.001786394,0.0005791843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749678,"about_ca_system_score_gemma":0.01078225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287341,"about_ca_topic_score_gemma":0.004327551,"domain_scores_codex":[0.9922115,0.002638932,0.002244035,0.0007406665,0.002012988,0.0001518811],"domain_scores_gemma":[0.8995391,0.08725156,0.006438747,0.0019713,0.004421565,0.0003778452],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000230457,0.00009572051,0.002290163,0.3830081,0.002228422,0.0002246742,0.0003589822,0.003133392,0.000539471,0.01095754,0.008815438,0.5881176],"study_design_scores_gemma":[0.0002140584,0.0006364651,0.004944678,0.757562,0.01437773,0.001675831,0.00103266,0.003747881,0.001901353,0.02275946,0.1909939,0.000153925],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009985692,0.9930508,0.003794373,0.0008396968,0.0001699685,0.000126022,0.0001470788,0.00002375656,0.0008496828],"genre_scores_gemma":[0.02573775,0.9673058,0.004993605,0.001036729,0.0002377092,0.0001899355,0.0003017526,0.00002213343,0.0001746081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9865311,"threshold_uncertainty_score":0.07123119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076225477","doi":"10.1007/s10515-006-5465-5","title":"Automated Prototyping of User Interfaces Based on UML Scenarios","year":2005,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; Unified Modeling Language; User interface; Programming language; Software engineering; Activity diagram; Process (computing); Interface (matter); UML tool; Applications of UML; Formal specification; Software; Operating system","authors":[{"name":"Mohammed Elkoutbi","is_ca":false},{"name":"Ismaïl Khriss","is_ca":true},{"name":"Rudolf K. Keller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008075478117797196,"gpt":0.2345897361683963,"spread":0.2265142580505991,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004948967,0.001782635,0.001043953,0.001385518,0.0006292048,0.003208193,0.0023054,0.002295629,0.006465309],"category_scores_gemma":[0.02693206,0.001649897,0.001477405,0.0004427445,0.0009694328,0.003244555,0.00232133,0.001588289,0.001323137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567941,"about_ca_system_score_gemma":0.001028667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009270475,"about_ca_topic_score_gemma":0.001307092,"domain_scores_codex":[0.9926463,0.004197568,0.0003650865,0.0003618456,0.00210215,0.0003269663],"domain_scores_gemma":[0.9769084,0.01778515,0.0007522662,0.002221763,0.001892671,0.0004396749],"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":[0.00264699,0.001232363,0.006585623,0.001654105,0.0003314618,0.004154982,0.005094676,0.3375297,0.1313907,0.1011533,0.01096938,0.3972567],"study_design_scores_gemma":[0.0002204355,0.0002873632,0.0006935581,0.0001635055,0.00008093401,0.0004217553,0.0002595211,0.9304723,0.03657269,0.01994575,0.0108042,0.00007783926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09205049,0.0001791157,0.8891616,0.0003184544,0.00007229604,0.0006910211,0.0001917026,0.01038757,0.006947615],"genre_scores_gemma":[0.4498242,0.0002215255,0.5461879,0.00007552898,0.00002190364,0.0004809554,0.000473456,0.0008090506,0.001905474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006465309,"threshold_uncertainty_score":0.026173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148615889","doi":"10.1007/s10515-014-0162-2","title":"Automatic, high accuracy prediction of reopened bugs","year":2014,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Software bug; Computer science; Eclipse; Rework; Software; Measure (data warehouse); Software engineering; Data mining; Operating system; Embedded system","authors":[{"name":"Xin Xia","is_ca":false},{"name":"David Lo","is_ca":false},{"name":"Emad Shihab","is_ca":true},{"name":"Xinyu Wang","is_ca":false},{"name":"Bo Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008804326722980867,"gpt":0.2269989611354743,"spread":0.2181946344124934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315948,0.001237687,0.001125265,0.003102644,0.0005039722,0.001548853,0.001610873,0.001726524,0.002136458],"category_scores_gemma":[0.01131249,0.0004518115,0.0007234411,0.00116447,0.0002916335,0.001401643,0.001257833,0.001249207,0.002779573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155675,"about_ca_system_score_gemma":0.001119049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003173891,"about_ca_topic_score_gemma":0.005678361,"domain_scores_codex":[0.9964023,0.0004086012,0.000240757,0.000938831,0.001762831,0.0002466935],"domain_scores_gemma":[0.9831824,0.007265901,0.002097881,0.002814923,0.004123782,0.0005150625],"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":[0.001251844,0.0009505948,0.1227049,0.0006141345,0.0003160198,0.0009794426,0.0002040511,0.05087849,0.08012531,0.00152408,0.03199645,0.7084546],"study_design_scores_gemma":[0.00008504413,0.0002866956,0.02973303,0.00004234706,0.0001032848,0.0006845078,0.00006215627,0.910032,0.05230376,0.003229867,0.00337928,0.00005803522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5792679,0.003188011,0.3487728,0.0008545072,0.000569269,0.0002108585,0.008069899,0.05413293,0.004933924],"genre_scores_gemma":[0.8510355,0.0003251078,0.1359796,0.0001773313,0.0001527723,0.00005420385,0.007593747,0.0005828489,0.004098819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003173891,"threshold_uncertainty_score":0.007147193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085231017","doi":"10.1007/s10515-008-0042-8","title":"Monitoring and diagnosing software requirements","year":2008,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Medical diagnosis; Component (thermodynamics); Satisfiability; Granularity; Scalability; Software; Software system; Data mining; Action (physics); Software engineering; Theoretical computer science; Programming language; Database","authors":[{"name":"Yiqiao Wang","is_ca":true},{"name":"Sheila A. McIlraith","is_ca":true},{"name":"Yijun Yu","is_ca":false},{"name":"John Mylopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04128915417957361,"gpt":0.2814525682538472,"spread":0.2401634140742736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001945409,0.0009774775,0.0007203865,0.002697435,0.0004712952,0.001498753,0.001304486,0.00115429,0.00159301],"category_scores_gemma":[0.01623467,0.0006188269,0.0005696211,0.0008441954,0.0004386728,0.002298257,0.0008222328,0.00113585,0.000784596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007484201,"about_ca_system_score_gemma":0.001255943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682875,"about_ca_topic_score_gemma":0.002361045,"domain_scores_codex":[0.995033,0.0011662,0.0002984775,0.0008519026,0.002412473,0.0002379366],"domain_scores_gemma":[0.9841058,0.00839032,0.002105793,0.003026306,0.002113611,0.0002582078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005925511,0.0006116216,0.03160169,0.0005379214,0.0001433267,0.0006354921,0.0006333665,0.0391,0.1697626,0.009820702,0.005297033,0.7412639],"study_design_scores_gemma":[0.00004638954,0.0004401879,0.02121759,0.00009057131,0.0001485913,0.0009563596,0.0002285626,0.7767113,0.1777446,0.01353928,0.008814823,0.00006169998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3126104,0.0006167972,0.662047,0.0006190115,0.00007995724,0.000347959,0.0003771034,0.01589171,0.007409944],"genre_scores_gemma":[0.8308757,0.000182087,0.1656484,0.0001043838,0.00003436516,0.0001074757,0.0004257674,0.0002641696,0.002357694],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002697435,"threshold_uncertainty_score":0.01028842,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205420848","doi":"10.1007/s10515-021-00319-5","title":"Improving the prediction of continuous integration build failures using deep learning","year":2022,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Benchmark (surveying); Feature engineering; Process (computing); Machine learning; Artificial intelligence; Task (project management); Construct (python library); Outcome (game theory); Recurrent neural network; Deep learning; Software; Code (set theory); Feature (linguistics); Artificial neural network; Data mining; Engineering; Systems engineering","authors":[{"name":"Islem Saidani","is_ca":true},{"name":"Ali Ouni","is_ca":true},{"name":"Mohamed Wiem Mkaouer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008641220931652826,"gpt":0.2206911880083849,"spread":0.2120499670767321,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008591433,0.00128294,0.0007417723,0.0011507,0.0002449366,0.0007160535,0.001098183,0.001031262,0.001235694],"category_scores_gemma":[0.003836959,0.0004696681,0.0004930637,0.0006845973,0.0003226416,0.001271251,0.0007843236,0.001915004,0.0006040198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000669302,"about_ca_system_score_gemma":0.0008945202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121935,"about_ca_topic_score_gemma":0.01465304,"domain_scores_codex":[0.9995561,0.00007301444,0.0000243555,0.0001331158,0.0001192862,0.00009415318],"domain_scores_gemma":[0.9972017,0.001452312,0.0003206646,0.0002319967,0.0006232563,0.0001701321],"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":[0.000459747,0.000613889,0.03538254,0.00009252821,0.0001190057,0.000201416,0.00006007767,0.7616726,0.004627315,0.0009529972,0.006144384,0.1896735],"study_design_scores_gemma":[0.000002320194,0.00001324429,0.0005595333,0.000002349927,0.000003219636,0.000004547484,0.000002500673,0.9986717,0.0003450783,0.0003408267,0.00005318157,0.00000154294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7332541,0.001781819,0.2563053,0.000755304,0.0002030581,0.00003742253,0.0008616496,0.004411182,0.002390036],"genre_scores_gemma":[0.9871076,0.0001125077,0.01082975,0.00005779697,0.00003147306,0.00001156486,0.0006324796,0.00004371865,0.001173216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121935,"threshold_uncertainty_score":0.02230811,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150654203","doi":"10.1007/s10515-007-0007-3","title":"Differencing logical UML models","year":2007,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Correctness; Metamodeling; Computer science; Heuristics; Unified Modeling Language; Robustness (evolution); Programming language; Logical data model; Theoretical computer science; Data mining; Artificial intelligence; Software; Software engineering; Data modeling","authors":[{"name":"Zhenchang Xing","is_ca":true},{"name":"Eleni Stroulia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01960952468392616,"gpt":0.2525665858741463,"spread":0.2329570611902202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00548094,0.0006985096,0.0007744975,0.002901167,0.0007025948,0.004308762,0.003436565,0.001676579,0.006101684],"category_scores_gemma":[0.03524156,0.001134636,0.001181997,0.002356099,0.001387608,0.007250803,0.005576912,0.002085931,0.001783691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129198,"about_ca_system_score_gemma":0.001772337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337413,"about_ca_topic_score_gemma":0.003875965,"domain_scores_codex":[0.9913816,0.002046888,0.0006541964,0.001005594,0.004515569,0.0003960975],"domain_scores_gemma":[0.986201,0.005514468,0.0007322063,0.005325603,0.00207273,0.0001539087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004987806,0.0002220419,0.005133696,0.0003740135,0.0001106303,0.0005571259,0.001481947,0.06021071,0.03056426,0.5178201,0.003288559,0.3797382],"study_design_scores_gemma":[0.00008237917,0.0001255805,0.001209435,0.0002024869,0.0001527424,0.000315785,0.0005925632,0.5214901,0.06844986,0.3628802,0.04441933,0.00007956354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04960176,0.0003139299,0.9373035,0.0003986317,0.0001468663,0.0001317106,0.0003736845,0.003337887,0.008392087],"genre_scores_gemma":[0.4696541,0.0003182303,0.5213138,0.0002344466,0.00003872327,0.0001359647,0.001555851,0.0008270222,0.005921833],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006101684,"threshold_uncertainty_score":0.02898633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1509675159","doi":"10.1023/a:1025801405075","title":"Agile Parsing in TXL","year":2003,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; University of Waterloo; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parsing; Grammar; Programming language; Agile software development; Natural language processing; Task (project management); Software engineering; Artificial intelligence; Set (abstract data type); Top-down parsing; Linguistics; Engineering; Systems engineering","authors":[{"name":"Thomas Dean","is_ca":true},{"name":"James R. Cordy","is_ca":true},{"name":"Andrew J. Malton","is_ca":true},{"name":"Kevin A. Schneider","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009901452217189218,"gpt":0.2379628521452174,"spread":0.2280613999280282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002700054,0.0008570894,0.0006518168,0.001530432,0.0008978764,0.003878871,0.001720812,0.001280513,0.01964793],"category_scores_gemma":[0.007561892,0.00122193,0.0009379484,0.002064366,0.001162561,0.005828088,0.003076443,0.002453474,0.009419461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009508791,"about_ca_system_score_gemma":0.00194018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105877,"about_ca_topic_score_gemma":0.003638108,"domain_scores_codex":[0.9970263,0.0008475254,0.0002945092,0.000581564,0.0009125075,0.0003376681],"domain_scores_gemma":[0.9944375,0.002121097,0.000221284,0.00238247,0.0007147382,0.0001228908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006267497,0.0002042297,0.00545057,0.0005055504,0.00009360737,0.0009194951,0.001848186,0.01756044,0.01687932,0.2287261,0.1041017,0.6230841],"study_design_scores_gemma":[0.0001745559,0.0001454121,0.001762809,0.0002972778,0.000155959,0.0008732587,0.0007555569,0.2473819,0.1171606,0.2907322,0.3403801,0.0001804586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0253006,0.0002688629,0.846562,0.000959794,0.0002502665,0.0001208952,0.002349772,0.09605532,0.02813252],"genre_scores_gemma":[0.3336178,0.0003834571,0.5829673,0.001041648,0.0001705815,0.0002204953,0.01013521,0.03341148,0.03805193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01964793,"threshold_uncertainty_score":0.06572884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168972892","doi":"10.1023/a:1024460315173","title":"User Interface Reverse Engineering in Support of Interface Migration to the Web","year":2003,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Legacy system; Interface (matter); User interface; Context (archaeology); TRACE (psycholinguistics); Process (computing); Human–computer interaction; State (computer science); Task (project management); Interface metaphor; Transition (genetics); Source code; User interface design; World Wide Web; Graphical user interface testing; Programming language; Operating system; Software; Engineering","authors":[{"name":"Eleni Stroulia","is_ca":true},{"name":"Mohammad El‐Ramly","is_ca":true},{"name":"Paul Iglinski","is_ca":true},{"name":"Paul Sorenson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008918239222152284,"gpt":0.2498914807623609,"spread":0.2409732415402086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520334,0.0006047612,0.0005821674,0.0007721239,0.0006918315,0.001822766,0.001781016,0.001439491,0.00348737],"category_scores_gemma":[0.01810099,0.0005015339,0.0004927581,0.0004473873,0.0005690573,0.00220132,0.001538732,0.001831644,0.001322517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282912,"about_ca_system_score_gemma":0.001081205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111797,"about_ca_topic_score_gemma":0.002617025,"domain_scores_codex":[0.9979678,0.0007014568,0.0001666494,0.0002437621,0.0006683126,0.0002519272],"domain_scores_gemma":[0.9859886,0.003998636,0.000765625,0.006274204,0.00267784,0.0002949536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002474251,0.001147178,0.01765568,0.0004232239,0.0001436227,0.002051857,0.002075299,0.009470856,0.12385,0.01195356,0.01707764,0.8116768],"study_design_scores_gemma":[0.0003590607,0.0006881685,0.0105026,0.0001410659,0.000369084,0.002993402,0.0007081405,0.4563808,0.4688937,0.01582057,0.04300142,0.000141984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3206641,0.0005661121,0.5918149,0.001170367,0.0004516276,0.000350525,0.0001671276,0.07106647,0.01374879],"genre_scores_gemma":[0.8109363,0.0002094113,0.1739165,0.0004581355,0.00009281022,0.00008976227,0.0002820341,0.002196079,0.01181888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00348737,"threshold_uncertainty_score":0.01332897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018862503","doi":"10.1007/s10515-011-0099-7","title":"Decision support for the software product line domain engineering lifecycle","year":2012,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Athabasca University","funders":"","keywords":"Domain engineering; Feature-oriented domain analysis; Computer science; Domain analysis; Domain (mathematical analysis); Software engineering; Domain model; Software product line; Feature model; Feature (linguistics); Software development; Domain knowledge; Data mining; Software; Data science; Programming language; Software construction","authors":[{"name":"Ebrahim Bagheri","is_ca":true},{"name":"Faezeh Ensan","is_ca":true},{"name":"Dragan Gašević","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02364243358208102,"gpt":0.2833247450238875,"spread":0.2596823114418065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003151415,0.0006580079,0.0006626478,0.001677571,0.0009210026,0.00334438,0.001232373,0.0009757645,0.01249353],"category_scores_gemma":[0.0178538,0.0003968418,0.0005415027,0.0008858467,0.000366635,0.002656089,0.001227762,0.001201809,0.001835216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008257704,"about_ca_system_score_gemma":0.002077712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319983,"about_ca_topic_score_gemma":0.004227665,"domain_scores_codex":[0.9972878,0.001093127,0.0001867483,0.0002539475,0.0009729983,0.0002055057],"domain_scores_gemma":[0.9876753,0.009329715,0.0006137277,0.0007214762,0.001293269,0.0003664779],"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":[0.002225251,0.001322922,0.005825302,0.0004737311,0.0001102391,0.0007995885,0.0005080439,0.1412076,0.0100957,0.0361964,0.018399,0.7828362],"study_design_scores_gemma":[0.0001595015,0.000168668,0.0008597923,0.00006234201,0.00005266427,0.0001085586,0.0001679953,0.952103,0.009718332,0.02790293,0.008668652,0.00002761017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2022098,0.0006765389,0.7616292,0.002563278,0.0001269775,0.0006854844,0.001600313,0.009770553,0.02073774],"genre_scores_gemma":[0.7767805,0.000216673,0.2175276,0.0001642053,0.00003947463,0.0001349789,0.001356352,0.0001831061,0.003597255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01249353,"threshold_uncertainty_score":0.04179502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120394327","doi":"10.1007/s10515-021-00313-x","title":"Faults in deep reinforcement learning programs: a taxonomy and a detection approach","year":2021,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Categorization; Artificial intelligence; Fault detection and isolation; Software; Machine learning; Software engineering; Programming language","authors":[{"name":"Amin Nikanjam","is_ca":true},{"name":"Mohammad Mehdi Morovati","is_ca":true},{"name":"Foutse Khomh","is_ca":true},{"name":"Houssem Ben Braiek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01206261324535972,"gpt":0.2026977882953615,"spread":0.1906351750500018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002922758,0.0009819542,0.001052786,0.002441832,0.00051834,0.002378521,0.002486604,0.003498669,0.0009522244],"category_scores_gemma":[0.01958479,0.0008892048,0.000962648,0.001937143,0.003147982,0.004881529,0.001945743,0.002899152,0.0001688917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508379,"about_ca_system_score_gemma":0.001113128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970613,"about_ca_topic_score_gemma":0.001286761,"domain_scores_codex":[0.9966654,0.0008114658,0.0004017906,0.0006194112,0.00122787,0.0002738941],"domain_scores_gemma":[0.9746957,0.01811218,0.003027591,0.001775602,0.001955396,0.0004335797],"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":[0.0004142182,0.0003330157,0.02029547,0.0008640878,0.0001290486,0.0009581085,0.000653554,0.3742052,0.00456732,0.324276,0.002746833,0.2705571],"study_design_scores_gemma":[0.00001271914,0.00008503461,0.0007017835,0.00006793698,0.00002965604,0.0002882594,0.00005012322,0.8528542,0.002245684,0.1426641,0.0009804758,0.0000199686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03495555,0.001976957,0.9594291,0.0007904185,0.00004332014,0.00008715279,0.0000961708,0.0007437037,0.001877576],"genre_scores_gemma":[0.7887232,0.001757696,0.206377,0.0002403409,0.0001913661,0.0001690634,0.0001843849,0.0001241721,0.002232801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003498669,"threshold_uncertainty_score":0.01545721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987534773","doi":"10.1007/s10515-010-0079-3","title":"Example-based model-transformation testing","year":2011,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Transformation (genetics); Oracle; Computer science; Model transformation; Function (biology); Premise; Quality (philosophy); Data mining; Reliability engineering; Artificial intelligence; Theoretical computer science; Industrial engineering; Machine learning; Software engineering; Engineering","authors":[{"name":"Marouane Kessentini","is_ca":true},{"name":"Houari Sahraoui","is_ca":true},{"name":"Mounir Boukadoum","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06099352935504673,"gpt":0.2320495740092268,"spread":0.1710560446541801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640097,0.0009904329,0.0006688369,0.0009195866,0.0004215857,0.0008733243,0.002501487,0.0015313,0.008687332],"category_scores_gemma":[0.01565662,0.000481838,0.0009460033,0.0007969475,0.0009871728,0.002622448,0.001724623,0.001409813,0.00101141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205582,"about_ca_system_score_gemma":0.0007761983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730677,"about_ca_topic_score_gemma":0.002958821,"domain_scores_codex":[0.9963246,0.001567299,0.0001591882,0.0003253329,0.00139993,0.0002235752],"domain_scores_gemma":[0.9882947,0.007674256,0.0003050863,0.002502334,0.001086942,0.0001365485],"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":[0.001673343,0.001329925,0.006746246,0.000813531,0.000250114,0.001549371,0.0006182463,0.3272672,0.05380504,0.09504671,0.01262049,0.4982798],"study_design_scores_gemma":[0.0001551345,0.0001941566,0.0005153618,0.00003852032,0.00005980112,0.0004311816,0.0000526757,0.9323508,0.02855326,0.0349333,0.002691256,0.00002451908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06666968,0.00008717061,0.9161105,0.000318263,0.00005925998,0.0001328711,0.0001964922,0.00878639,0.007639336],"genre_scores_gemma":[0.6035677,0.00008758546,0.391696,0.0001528593,0.00001493752,0.0001091319,0.0004578217,0.0008855659,0.003028469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008687332,"threshold_uncertainty_score":0.02906209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034869573","doi":"10.1023/b:ause.0000008668.12782.6c","title":"Granularity-Driven Dynamic Predicate Slicing Algorithms for Message Passing Systems","year":2003,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Program slicing; Computer science; Predicate (mathematical logic); Slicing; Correctness; Granularity; Algorithm; Computation; Theoretical computer science; Programming language","authors":[{"name":"Hon F. Li","is_ca":true},{"name":"Juergen Rilling","is_ca":true},{"name":"Dhrubajyoti Goswami","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01444127482688176,"gpt":0.2554814375190623,"spread":0.2410401626921806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003985275,0.0007412935,0.001054581,0.001370145,0.001096455,0.001667642,0.002263019,0.0009274883,0.00318418],"category_scores_gemma":[0.00896103,0.0008292561,0.000879882,0.001360934,0.001853948,0.0040177,0.002519095,0.002205963,0.0004543618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605943,"about_ca_system_score_gemma":0.001815882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004337009,"about_ca_topic_score_gemma":0.005456187,"domain_scores_codex":[0.9975776,0.0007326152,0.0001933635,0.0003050704,0.0008126757,0.0003786879],"domain_scores_gemma":[0.9912851,0.004634518,0.0006108501,0.002482733,0.0007466627,0.0002400231],"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":[0.001146628,0.0001819935,0.004143053,0.0003338949,0.0001051344,0.0001300091,0.0009522913,0.2752421,0.02710587,0.2418021,0.006478116,0.4423788],"study_design_scores_gemma":[0.00009883931,0.00007510376,0.0003431776,0.00003221404,0.00004684158,0.00003948254,0.00006284838,0.8593544,0.0154306,0.1216386,0.00285198,0.00002600362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01973156,0.0001388226,0.9755358,0.0001132485,0.00002300156,0.00003536648,0.00004741006,0.003458672,0.0009160779],"genre_scores_gemma":[0.3735474,0.0001564508,0.6242109,0.00008721186,0.00003796776,0.0000816428,0.0002462465,0.000691174,0.0009410033],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004337009,"threshold_uncertainty_score":0.02107638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293080012","doi":"10.1007/s10515-022-00358-6","title":"Self-admitted technical debt in R: detection and causes","year":2022,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; Australian National University; University of Saskatchewan","keywords":"Computer science; Artificial intelligence; Source code; Domain (mathematical analysis); Software; Machine learning; Software quality; Semantics (computer science); Code (set theory); Software development; Data mining; Software engineering; Data science; Programming language; Set (abstract data type)","authors":[{"name":"Rishab Sharma","is_ca":true},{"name":"Ramin Shahbazi","is_ca":true},{"name":"Fatemeh H. Fard","is_ca":true},{"name":"Zadia Codabux","is_ca":true},{"name":"Melina Vidoni","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006794930659710039,"gpt":0.2277473998222797,"spread":0.2209524691625696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00937154,0.0007946255,0.0005677214,0.006977464,0.0009202386,0.002002137,0.001318407,0.00104638,0.001747926],"category_scores_gemma":[0.118401,0.0006510458,0.0007802916,0.005173792,0.001209787,0.002548863,0.002217272,0.001252999,0.001196955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461753,"about_ca_system_score_gemma":0.001910796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005698003,"about_ca_topic_score_gemma":0.008823807,"domain_scores_codex":[0.9841356,0.004410431,0.002037563,0.003513543,0.005404041,0.0004989154],"domain_scores_gemma":[0.8009503,0.1044306,0.055103,0.01559792,0.02190748,0.002010694],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000345553,0.0001128654,0.811613,0.001238175,0.000186125,0.002471762,0.004111466,0.004990362,0.005519328,0.004499961,0.01697199,0.1479394],"study_design_scores_gemma":[0.00008805212,0.0003105635,0.5952272,0.001752767,0.0004857692,0.007953109,0.004528152,0.2710594,0.027938,0.01668837,0.07360683,0.000361853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790801,0.003235025,0.09001971,0.002714864,0.0002094524,0.0002683607,0.005381354,0.01221107,0.00688016],"genre_scores_gemma":[0.9517772,0.0005325243,0.03900436,0.0005244758,0.0001014746,0.0001394778,0.004317875,0.001238362,0.002364349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9906285,"threshold_uncertainty_score":0.04956198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989495780","doi":"10.1007/s10515-014-0146-2","title":"Semantic tagging and linking of software engineering social content","year":2014,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University; Toronto Metropolitan University","funders":"","keywords":"Computer science; World Wide Web; Scalability; Process (computing); Software; Software development; Data science; Database","authors":[{"name":"Ebrahim Bagheri","is_ca":true},{"name":"Faezeh Ensan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01151748940496023,"gpt":0.2028167779941189,"spread":0.1912992885891587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736035,0.0004067638,0.0003327483,0.01603341,0.001528924,0.002734688,0.0006474887,0.001016499,0.002199359],"category_scores_gemma":[0.01158948,0.0003041641,0.0006674904,0.01018435,0.0007689566,0.003620708,0.002278328,0.0008545537,0.001508406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009503831,"about_ca_system_score_gemma":0.00154052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507367,"about_ca_topic_score_gemma":0.004712312,"domain_scores_codex":[0.9975157,0.0008350144,0.0002169897,0.0004730478,0.0008183059,0.0001408642],"domain_scores_gemma":[0.991455,0.004373542,0.0009291937,0.00146072,0.001541983,0.0002395261],"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":[0.0005862807,0.001095185,0.07423396,0.00148668,0.0002633843,0.001313823,0.008725108,0.009447663,0.05743053,0.1453126,0.02592025,0.6741846],"study_design_scores_gemma":[0.000065581,0.0003063513,0.1100842,0.001080411,0.000585046,0.002461105,0.006924818,0.2811669,0.08582308,0.2704983,0.2407647,0.0002395167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4481749,0.001321938,0.4890163,0.001299379,0.0004566501,0.0006854144,0.01367631,0.003455135,0.041914],"genre_scores_gemma":[0.7216607,0.0009474517,0.2466087,0.0002071707,0.0002233372,0.0003838678,0.02010554,0.0005707986,0.009292425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01603341,"threshold_uncertainty_score":0.009181142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992815253","doi":"10.1007/s10515-009-0061-0","title":"Generating a checking sequence with a minimum number of reset transitions","year":2009,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust","keywords":"Reset (finance); Sequence (biology); Model checking; State (computer science); Computer science; Finite-state machine; Algorithm","authors":[{"name":"Robert M. Hierons","is_ca":false},{"name":"Hasan Ural","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01598254155514914,"gpt":0.2662486012595593,"spread":0.2502660597044102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527622,0.001400175,0.001233728,0.00206321,0.0007005839,0.0008470123,0.001661846,0.001853766,0.006115948],"category_scores_gemma":[0.01630315,0.001054172,0.001235363,0.0009306525,0.0008335245,0.001576062,0.001265933,0.001506398,0.001387611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398999,"about_ca_system_score_gemma":0.003133554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009257324,"about_ca_topic_score_gemma":0.002079468,"domain_scores_codex":[0.9972868,0.0007553375,0.0002462825,0.0007374191,0.0006909432,0.0002831624],"domain_scores_gemma":[0.9755546,0.01604313,0.001426946,0.003927825,0.002499143,0.0005482321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004213443,0.001013874,0.01003082,0.00155705,0.0002519551,0.002250025,0.0006024173,0.1454552,0.256837,0.01499917,0.00673533,0.5560537],"study_design_scores_gemma":[0.0006147488,0.0009630749,0.003156653,0.0001420892,0.0002600474,0.00120203,0.0001303151,0.7392259,0.2238944,0.02638078,0.003929096,0.0001008606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512382,0.0001190738,0.8315465,0.0002594973,0.0001027929,0.0004578756,0.0004417398,0.01383086,0.002003513],"genre_scores_gemma":[0.5385303,0.00005051324,0.4575329,0.0001514689,0.00002813712,0.000252102,0.0008564487,0.001233433,0.001364679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006115948,"threshold_uncertainty_score":0.02045989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2177607365","doi":"10.1007/s10515-015-0184-4","title":"Concept extraction from business documents for software engineering projects","year":2015,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Documentation; Domain engineering; Software mining; Software engineering; Process (computing); Domain (mathematical analysis); Software; Data science; Knowledge extraction; Data mining; Domain analysis; Information extraction; Software development; Information retrieval; Software construction; Programming language","authors":[{"name":"Pierre André Ménard","is_ca":true},{"name":"Sylvie Ratté","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01656998676845237,"gpt":0.2722598448418184,"spread":0.255689858073366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706957,0.00124606,0.0007174063,0.01292106,0.001524791,0.002380715,0.0009696032,0.00133536,0.003770705],"category_scores_gemma":[0.01198176,0.0005525166,0.001096883,0.008538714,0.0004654198,0.003390618,0.001194009,0.00153809,0.003378985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053363,"about_ca_system_score_gemma":0.004368753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327749,"about_ca_topic_score_gemma":0.00469067,"domain_scores_codex":[0.997726,0.0004177348,0.0003788622,0.0003834286,0.000946931,0.0001470541],"domain_scores_gemma":[0.9892325,0.006608885,0.001028449,0.0005732594,0.002244114,0.0003127124],"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":[0.0004990101,0.0004544501,0.01150835,0.004253751,0.0001526137,0.001670148,0.002118509,0.003199823,0.0776017,0.01000892,0.04420169,0.844331],"study_design_scores_gemma":[0.0003984402,0.0009167428,0.06676876,0.002857126,0.001470827,0.007678938,0.005783625,0.1282068,0.2339272,0.04228117,0.5093444,0.0003659638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2867679,0.01157719,0.5887855,0.003280659,0.0008062004,0.003074941,0.0692646,0.01567427,0.02076873],"genre_scores_gemma":[0.2572199,0.003235259,0.6733425,0.000252925,0.0002212796,0.0009620349,0.05884686,0.0007765171,0.005142631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292106,"threshold_uncertainty_score":0.01261425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105899414","doi":"10.1007/s10515-008-0028-6","title":"Requirements model generation to support requirements elicitation: the Secure Tropos experience","year":2008,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Requirements elicitation; Requirements engineering; Computer science; Requirements analysis; Requirements management; Context (archaeology); Process (computing); Software engineering; Requirement; Systems engineering; Engineering","authors":[{"name":"Nadzeya Kiyavitskaya","is_ca":false},{"name":"Nicola Zannone","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06163986956967274,"gpt":0.3091074000294848,"spread":0.247467530459812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008043161,0.0007707202,0.0004406258,0.0007164153,0.0006110636,0.001684476,0.001812491,0.001262753,0.004651932],"category_scores_gemma":[0.0179427,0.0006974134,0.0007476723,0.0005138083,0.001267247,0.004012785,0.002345531,0.002220742,0.001604573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006796693,"about_ca_system_score_gemma":0.001642673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605693,"about_ca_topic_score_gemma":0.001922022,"domain_scores_codex":[0.9950415,0.003279413,0.0002013696,0.0003054065,0.001038795,0.0001334714],"domain_scores_gemma":[0.9753067,0.01794875,0.0008630948,0.004093415,0.001324654,0.0004634422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002500634,0.00142231,0.004902929,0.00115728,0.0002586764,0.00208071,0.01387771,0.1207463,0.09631364,0.1331448,0.03132254,0.5922726],"study_design_scores_gemma":[0.000819126,0.0008733537,0.001216081,0.0003176271,0.0001346333,0.001379059,0.002705689,0.7567119,0.04777127,0.08817016,0.0997748,0.0001262845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.126178,0.0004405368,0.8428666,0.002419858,0.00008738034,0.0004222727,0.0004165047,0.01082178,0.01634709],"genre_scores_gemma":[0.3729132,0.000692484,0.6176984,0.0004404353,0.00004102846,0.0002646239,0.001035872,0.001835976,0.005077894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008043161,"threshold_uncertainty_score":0.0425368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391395450","doi":"10.1007/s10515-024-00413-4","title":"An extensive study of the effects of different deep learning models on code vulnerability detection in Python code","year":2024,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Python (programming language); Computer science; Artificial intelligence; Deep learning; Word2vec; Machine learning; Programming language","authors":[{"name":"Rongcun Wang","is_ca":false},{"name":"Sen-Lei Xu","is_ca":false},{"name":"Xingyu Ji","is_ca":false},{"name":"Yuan Tian","is_ca":true},{"name":"Lina Gong","is_ca":false},{"name":"Ke Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01233075700953269,"gpt":0.2627646923285514,"spread":0.2504339353190187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552227,0.0009021647,0.0005345527,0.0007822523,0.000447343,0.0005041836,0.0007946445,0.000777821,0.0008027079],"category_scores_gemma":[0.01580907,0.0002540471,0.0005652813,0.000715752,0.0006535305,0.001632803,0.0007865229,0.001403622,0.0002106521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000847949,"about_ca_system_score_gemma":0.00115196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103053,"about_ca_topic_score_gemma":0.01250421,"domain_scores_codex":[0.9988477,0.0003154883,0.00006801059,0.0002630634,0.0003261073,0.0001795201],"domain_scores_gemma":[0.984554,0.0112304,0.0009483765,0.001451157,0.001508322,0.0003078261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002216878,0.001520043,0.065497,0.0009281121,0.0004949615,0.0005280684,0.0004509055,0.5590948,0.03589426,0.00278461,0.0116739,0.3189164],"study_design_scores_gemma":[0.00002679885,0.0003524541,0.01047586,0.00004058955,0.0000845883,0.00009264514,0.0001021944,0.9688262,0.01738152,0.001757024,0.0008364712,0.00002359793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795869,0.0009224293,0.01638645,0.000299787,0.00006391457,0.00002514957,0.0003650038,0.001100591,0.001249697],"genre_scores_gemma":[0.988005,0.0002412908,0.01007155,0.00008373069,0.00001744812,0.00001481498,0.00064944,0.00009165767,0.0008250257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103053,"threshold_uncertainty_score":0.02049059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2945944668","doi":"10.1007/s10515-019-00256-4","title":"Improving web service interfaces modularity using multi-objective optimization","year":2019,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Interface (matter); Code refactoring; Service (business); Web service; Software engineering; Service-oriented architecture; Artifact (error); Reuse; Modular programming; Service provider; World Wide Web; Programming language; Artificial intelligence; Software; Operating system; Engineering","authors":[{"name":"Sabrine Boukharata","is_ca":true},{"name":"Ali Ouni","is_ca":true},{"name":"Marouane Kessentini","is_ca":false},{"name":"Salah Bouktif","is_ca":false},{"name":"Hanzhang Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.013282066220827,"gpt":0.2464925954551059,"spread":0.2332105292342789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427545,0.001405289,0.001082722,0.001194507,0.0005435484,0.0009380679,0.001187817,0.0008524676,0.001598935],"category_scores_gemma":[0.003394255,0.0005190428,0.0008630315,0.0006839471,0.0006082751,0.001191576,0.001227163,0.0009536998,0.000292286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043703,"about_ca_system_score_gemma":0.00117309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002629002,"about_ca_topic_score_gemma":0.002695381,"domain_scores_codex":[0.9992106,0.0002541548,0.00003436175,0.000126392,0.0002388675,0.0001357262],"domain_scores_gemma":[0.9985972,0.0006016524,0.0002643977,0.0001496523,0.0002937162,0.00009345946],"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":[0.0001200943,0.0002243679,0.001081052,0.0000705424,0.00006278762,0.00005087888,0.00004241152,0.9194142,0.01670214,0.002488252,0.0003531068,0.05939016],"study_design_scores_gemma":[0.000007482629,0.00003069645,0.00009728723,0.000002350789,0.00001069847,0.00000702205,0.00000646007,0.9978078,0.001416982,0.0005372796,0.00007373886,0.000002203607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881691,0.0002402687,0.807605,0.0001324125,0.00003937333,0.0000934541,0.00002981628,0.001005975,0.002684604],"genre_scores_gemma":[0.8079931,0.00006927171,0.1901972,0.00004791909,0.00001478726,0.0000652391,0.00005707822,0.0002600437,0.00129523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002629002,"threshold_uncertainty_score":0.007572651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124559112","doi":"10.1007/s10515-008-0043-7","title":"Parameter reference immutability: formal definition, inference tool, and comparison","year":2008,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Immutability; Correctness; Computer science; Scalability; Component (thermodynamics); Inference; Object (grammar); Programming language; Abstraction; Theoretical computer science; Artificial intelligence","authors":[{"name":"Shay Artzi","is_ca":true},{"name":"Adam Kieżun","is_ca":true},{"name":"Michael D. Ernst","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04144959300512138,"gpt":0.2640226251437893,"spread":0.2225730321386679,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01467241,0.001566094,0.002148035,0.007332653,0.001707279,0.00573528,0.007921661,0.003663682,0.006360824],"category_scores_gemma":[0.06175685,0.001647326,0.002576777,0.005495082,0.007989756,0.01883115,0.005295845,0.005375048,0.001357176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039789,"about_ca_system_score_gemma":0.003127662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681558,"about_ca_topic_score_gemma":0.001190579,"domain_scores_codex":[0.982406,0.00471358,0.002080487,0.002373062,0.007135832,0.001290941],"domain_scores_gemma":[0.9371709,0.03396701,0.002868006,0.01940528,0.006044341,0.0005445647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003428958,0.0002680508,0.00389579,0.0004204569,0.00008600703,0.0003884844,0.0007547575,0.01501619,0.004990218,0.8154135,0.002643538,0.15578],"study_design_scores_gemma":[0.0001258605,0.0002980152,0.001116083,0.0003577072,0.0003700573,0.001991651,0.0003554036,0.2215596,0.04273273,0.7118653,0.01900513,0.0002223926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00896859,0.0004928528,0.9843069,0.0002798571,0.00007387783,0.00008067136,0.00008844161,0.002239927,0.003468917],"genre_scores_gemma":[0.4948525,0.001365157,0.4966227,0.0003487117,0.0003152247,0.0002837219,0.0006900688,0.001981305,0.003540702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01467241,"threshold_uncertainty_score":0.07759607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W982742101","doi":"10.1007/s10515-015-0183-5","title":"Identifying and understanding header file hotspots in C/C++ build processes","year":2015,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Queen's University; McGill University","funders":"","keywords":"Header; Codebase; Computer science; Software deployment; Source code; Hotspot (geology); Software; Database; Operating system; Computer network","authors":[{"name":"Shane McIntosh","is_ca":true},{"name":"Bram Adams","is_ca":true},{"name":"Meiyappan Nagappan","is_ca":false},{"name":"Ahmed E. Hassan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05580051961284043,"gpt":0.2822813229139547,"spread":0.2264808033011143,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001009372,0.0006125071,0.0003745058,0.003195685,0.0008056332,0.00148918,0.0009379113,0.0007746122,0.001343842],"category_scores_gemma":[0.009262445,0.0007964104,0.0003396904,0.001750432,0.0007502486,0.002393361,0.001241589,0.0009405319,0.0003955678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009209667,"about_ca_system_score_gemma":0.001268524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007031784,"about_ca_topic_score_gemma":0.01186908,"domain_scores_codex":[0.998387,0.0001831901,0.0001134213,0.0004537308,0.0005862704,0.0002763958],"domain_scores_gemma":[0.9856899,0.008376157,0.002747623,0.001383504,0.001421814,0.0003810898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002275209,0.0006946333,0.3750504,0.001034992,0.0001723523,0.003041908,0.007848716,0.06112621,0.1247956,0.01256784,0.008449666,0.4029424],"study_design_scores_gemma":[0.00007596485,0.0004638821,0.2059378,0.0002042747,0.0002599147,0.00151018,0.003773174,0.6083365,0.1568775,0.01454787,0.007880799,0.0001321406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138821,0.0007042814,0.07350243,0.0001397075,0.00004062666,0.0001130817,0.0006054841,0.008562895,0.002449406],"genre_scores_gemma":[0.9701404,0.0001300154,0.02777928,0.00004464294,0.00001447321,0.00003744195,0.0005346065,0.0004994952,0.0008197452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007031784,"threshold_uncertainty_score":0.01398176,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123784004","doi":"10.1007/s10515-020-00278-3","title":"ALBA: a model-driven framework for the automatic generation of android location-based apps","year":2021,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Plug-in; Computer science; Android (operating system); Usability; Download; Mobile apps; Code generation; World Wide Web; Software engineering; Human–computer interaction; Operating system","authors":[{"name":"Mohammadali Gharaat","is_ca":false},{"name":"Mohammadreza Sharbaf","is_ca":false},{"name":"Bahman Zamani","is_ca":false},{"name":"Abdelwahab Hamou‐Lhadj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01894973313838123,"gpt":0.2478359306377177,"spread":0.2288861974993365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201096,0.002155449,0.0009052016,0.0014365,0.0006280952,0.002487882,0.002810386,0.001781863,0.01082993],"category_scores_gemma":[0.005280437,0.001501809,0.002243936,0.0003867386,0.0007201072,0.001874048,0.002468381,0.002179158,0.00580805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906627,"about_ca_system_score_gemma":0.001586562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005069223,"about_ca_topic_score_gemma":0.007906315,"domain_scores_codex":[0.9990543,0.0001618471,0.00006764232,0.0001827691,0.0004369314,0.0000964659],"domain_scores_gemma":[0.9982722,0.0007680658,0.0001303202,0.000413255,0.0003222431,0.00009396805],"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":[0.001501901,0.0007965924,0.009615635,0.002253857,0.0007306779,0.002632665,0.001322252,0.2158138,0.08126608,0.06565803,0.124527,0.4938814],"study_design_scores_gemma":[0.00012232,0.0001057104,0.000543585,0.000116786,0.00009182791,0.0004435321,0.00006441079,0.9142947,0.024854,0.01505916,0.04421248,0.00009152506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004473682,0.0001864853,0.8727689,0.0001307431,0.0001120106,0.0002968658,0.001056296,0.1188559,0.002119014],"genre_scores_gemma":[0.2235479,0.0006146432,0.73343,0.0004394012,0.00009027228,0.0009873478,0.005766131,0.02551634,0.009607978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01082993,"threshold_uncertainty_score":0.03622973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973518623","doi":"10.1023/b:ause.0000017742.47984.6c","title":"Verifying Service Continuity in a Dynamic Reconfiguration Procedure: Application to a Satellite System","year":2004,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Computer science; Unified Modeling Language; Software; Payload (computing); Embedded system; Distributed computing; Programming language; Network packet; Computer network","authors":[{"name":"Ludovic Apvrille","is_ca":false},{"name":"Pierre de Saqui‐Sannes","is_ca":false},{"name":"Patrick Sénac","is_ca":false},{"name":"Christophe Lohr","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00948485757950351,"gpt":0.2531919913532006,"spread":0.2437071337736971,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003304925,0.000612486,0.0007346894,0.0006790228,0.001558081,0.001022527,0.001437122,0.001738722,0.001813148],"category_scores_gemma":[0.01322743,0.0004311939,0.0005341989,0.0006364353,0.00217421,0.001370843,0.001052938,0.001295335,0.0002663638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008303999,"about_ca_system_score_gemma":0.001790895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009911713,"about_ca_topic_score_gemma":0.006532308,"domain_scores_codex":[0.9976419,0.0007384767,0.0001391228,0.0004380795,0.0007920319,0.0002503151],"domain_scores_gemma":[0.9836829,0.01090914,0.001160956,0.00239728,0.001405518,0.0004441972],"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":[0.003518083,0.0008412285,0.01716456,0.0004083772,0.0001517349,0.003666742,0.002104143,0.5752292,0.1393952,0.02947745,0.001970863,0.2260724],"study_design_scores_gemma":[0.0001776757,0.0003097971,0.001719177,0.00001381513,0.00004925516,0.0003801147,0.0001717403,0.9535652,0.03668889,0.00612913,0.0007669636,0.00002823102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4972529,0.00008167168,0.495692,0.0002127401,0.00003560656,0.0001532522,0.00007917664,0.004774464,0.001718269],"genre_scores_gemma":[0.9329273,0.00002325014,0.06646865,0.00002815935,0.000009607947,0.00002358476,0.00004863384,0.0001058874,0.0003649521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009911713,"threshold_uncertainty_score":0.01970804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408081570","doi":"10.1007/s10515-025-00493-w","title":"Quantum software engineering and potential of quantum computing in software engineering research: a review","year":2025,"lang":"en","type":"review","venue":"Automated Software Engineering","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Software engineering; Social software engineering; Software requirements; Software; Quantum computer; Software development; Quantum; Computational science; Software construction; Programming language; Physics; Quantum mechanics","authors":[{"name":"Ashis Kumar Mandal","is_ca":true},{"name":"Md Nadim","is_ca":true},{"name":"Chanchal K. Roy","is_ca":true},{"name":"Banani Roy","is_ca":true},{"name":"Kevin A. Schneider","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02519809214927829,"gpt":0.2981813413858532,"spread":0.2729832492365749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00120861,0.0008298121,0.00168064,0.004031346,0.0003724211,0.0014364,0.0009798505,0.001406965,0.002923767],"category_scores_gemma":[0.002300016,0.0003568185,0.0005971296,0.004599425,0.0009383301,0.002629665,0.0009255238,0.001676298,0.00106092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065152,"about_ca_system_score_gemma":0.002637736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871961,"about_ca_topic_score_gemma":0.003367157,"domain_scores_codex":[0.9996314,0.00007780088,0.00004696764,0.00006724545,0.0001506661,0.00002598838],"domain_scores_gemma":[0.9981278,0.001265951,0.0001403428,0.00004231904,0.0003437822,0.00007999723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005911969,0.00009323212,0.0003927113,0.0346842,0.0001730094,0.0001561985,0.0001082419,0.0007960961,0.001218497,0.02149201,0.03420491,0.9066218],"study_design_scores_gemma":[0.00002753157,0.00009069937,0.0009106352,0.01023005,0.0002661413,0.0007051764,0.0001163156,0.000447516,0.0005735562,0.01568315,0.9709045,0.00004465463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008234072,0.9986136,0.0002561773,0.0003481269,0.0001081224,0.000003088992,0.00001260077,0.000004614632,0.0005713186],"genre_scores_gemma":[0.0006464104,0.9985347,0.0002611627,0.000180554,0.0002040031,0.00000518836,0.00001532421,0.000001417642,0.0001511765],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004031346,"threshold_uncertainty_score":0.009780943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010630833","doi":"10.1007/s10515-008-0040-x","title":"Fast extraction of high-quality framework-specific models from application code","year":2008,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Reverse engineering; Code (set theory); Model-driven architecture; Implementation; Source code; Software engineering; Set (abstract data type); Software; Code generation; Precision and recall; Static program analysis; KPI-driven code analysis; Code review; Software quality; Programming language; Software development; Data mining; Machine learning; Key (lock)","authors":[{"name":"Michał Antkiewicz","is_ca":true},{"name":"Thiago Tonelli Bartolomei","is_ca":true},{"name":"Krzysztof Czarnecki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04665835928101749,"gpt":0.2977312850444073,"spread":0.2510729257633898,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226588,0.002007804,0.001462438,0.003011569,0.0006485871,0.001935256,0.002184011,0.001723415,0.001825724],"category_scores_gemma":[0.01142729,0.001497373,0.002378706,0.001998474,0.0005187016,0.002353075,0.001614136,0.001932228,0.001505995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320731,"about_ca_system_score_gemma":0.003190359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005651413,"about_ca_topic_score_gemma":0.01267267,"domain_scores_codex":[0.9982936,0.000222356,0.000103793,0.000182798,0.001087116,0.0001103783],"domain_scores_gemma":[0.9938328,0.002165609,0.0006432261,0.001544586,0.001709241,0.0001045341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00047758,0.0002738546,0.009038488,0.001531264,0.0004063826,0.001346073,0.0005198226,0.2657195,0.09385209,0.01575505,0.02805717,0.5830228],"study_design_scores_gemma":[0.00004762823,0.00006269659,0.001272741,0.00007239806,0.0001135495,0.0002462636,0.00006788524,0.9367657,0.04108509,0.01047635,0.009748728,0.00004104616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03348703,0.0005466404,0.932656,0.0002510306,0.00006017987,0.0001495056,0.001544396,0.03009816,0.001206956],"genre_scores_gemma":[0.2605861,0.0006920099,0.7246413,0.0001499043,0.00003608349,0.0002134021,0.006990892,0.005016437,0.001673976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005651413,"threshold_uncertainty_score":0.01123703,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297231615","doi":"10.1007/s10515-022-00363-9","title":"HealMA: a model-driven framework for automatic generation of IoT-based Android health monitoring applications","year":2022,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Android (operating system); Computer science; Software engineering; Software; Usability; Software portability; Software development; Code generation; Domain-specific language; Embedded system; Human–computer interaction; Operating system","authors":[{"name":"Maryam Mehrabi","is_ca":false},{"name":"Bahman Zamani","is_ca":false},{"name":"Abdelwahab Hamou‐Lhadj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02573431652738196,"gpt":0.2816148836001603,"spread":0.2558805670727784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001203774,0.001960977,0.000881188,0.001131791,0.000484211,0.001897502,0.002717817,0.001421641,0.00799868],"category_scores_gemma":[0.003904736,0.00134982,0.00174752,0.000297963,0.0006611244,0.001544229,0.001813621,0.002030859,0.00298577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006936077,"about_ca_system_score_gemma":0.001273672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003526969,"about_ca_topic_score_gemma":0.005551286,"domain_scores_codex":[0.9991781,0.0001161142,0.00006194104,0.0001896839,0.0003685787,0.0000855495],"domain_scores_gemma":[0.9986104,0.0005700816,0.0001225998,0.0003600516,0.0002498341,0.00008698487],"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":[0.00207225,0.001149785,0.01252411,0.002628804,0.0008311933,0.002542363,0.001506692,0.229383,0.1685664,0.05860329,0.1009636,0.4192286],"study_design_scores_gemma":[0.0001249695,0.0001296045,0.0009199529,0.0001030741,0.0001063595,0.0004077111,0.00005317314,0.9042669,0.04452866,0.01118865,0.03807746,0.00009352428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00717429,0.000198049,0.85852,0.0001241033,0.0001044414,0.000382579,0.001055812,0.1301031,0.002337594],"genre_scores_gemma":[0.3035722,0.0005727548,0.6513264,0.0005047131,0.00008455154,0.001318797,0.006407693,0.02545714,0.01075577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00799868,"threshold_uncertainty_score":0.02675825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391998081","doi":"10.1007/s10515-024-00417-0","title":"Using data mining techniques to generate test cases from graph transformation systems specifications","year":2024,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transformation (genetics); Graph; Data mining; Test (biology); Graph rewriting; Theoretical computer science; Geology; Chemistry","authors":[{"name":"Maryam Asgari Araghi","is_ca":true},{"name":"Vahid Rafe","is_ca":false},{"name":"Ferhat Khendek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1070484345147405,"gpt":0.3058533629096707,"spread":0.1988049283949302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001480461,0.001099496,0.0004814875,0.005504542,0.0004053357,0.001196004,0.001372731,0.0007787325,0.001871684],"category_scores_gemma":[0.01624876,0.0004329741,0.001145064,0.002471758,0.0004086905,0.001174322,0.0006301999,0.0008522649,0.0005715869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007272256,"about_ca_system_score_gemma":0.001313279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004320087,"about_ca_topic_score_gemma":0.007235826,"domain_scores_codex":[0.9981593,0.0004500736,0.0002319438,0.0002996276,0.0007671848,0.00009194605],"domain_scores_gemma":[0.983621,0.01178053,0.001086552,0.001370048,0.00198046,0.0001614568],"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":[0.0006376826,0.001225888,0.04438813,0.001148779,0.0003568339,0.002612682,0.0007783292,0.1686487,0.03371383,0.0111877,0.009487242,0.7258142],"study_design_scores_gemma":[0.0001201104,0.0002959972,0.004828074,0.0001160104,0.0001482785,0.0008542293,0.0002425371,0.936102,0.03979186,0.01298014,0.004484408,0.00003646823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2292162,0.0002909192,0.7436543,0.0006383536,0.00005024234,0.0008389011,0.004952333,0.01631969,0.004038979],"genre_scores_gemma":[0.5585285,0.0001696235,0.4297803,0.0001210779,0.0000153357,0.0004480835,0.009244152,0.0005988148,0.001094162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005504542,"threshold_uncertainty_score":0.008589864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396957427","doi":"10.1007/s10515-024-00444-x","title":"A novel automated framework for fine-grained sentiment analysis of application reviews using deep neural networks","year":2024,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Sentiment analysis; Computer science; Deep neural networks; Artificial neural network; Artificial intelligence; Natural language processing","authors":[{"name":"Haochen Zou","is_ca":true},{"name":"Yongli Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02056067213949618,"gpt":0.2969009915494238,"spread":0.2763403194099276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007314215,0.00122447,0.000688973,0.00206762,0.0004075555,0.001008251,0.001068315,0.000716045,0.002129762],"category_scores_gemma":[0.001884699,0.0003842084,0.0007291505,0.001076943,0.0002242465,0.001208071,0.001072307,0.001181486,0.001879161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886203,"about_ca_system_score_gemma":0.001366728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885453,"about_ca_topic_score_gemma":0.0236338,"domain_scores_codex":[0.9992544,0.0001036372,0.00005522818,0.0001983891,0.0002732999,0.0001150123],"domain_scores_gemma":[0.9990205,0.0001848595,0.0001741605,0.00008561469,0.0004777518,0.00005714906],"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":[0.0002688508,0.0005348349,0.006402615,0.0002475995,0.0002276259,0.0002235717,0.0001296382,0.03967648,0.05374156,0.004911233,0.03536572,0.8582703],"study_design_scores_gemma":[0.00001223806,0.00003845576,0.001377207,0.00001313385,0.00002552381,0.00003488688,0.00002479171,0.984525,0.007378823,0.0034417,0.003115691,0.00001242991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04048081,0.0006841487,0.9397098,0.0005818001,0.0002244216,0.000280994,0.001821683,0.01233253,0.003883796],"genre_scores_gemma":[0.4279221,0.0005214249,0.5497129,0.0004882106,0.000304814,0.000416376,0.00666773,0.0004915414,0.01347502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008885453,"threshold_uncertainty_score":0.01766747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904569853","doi":"10.1007/s10515-018-0247-4","title":"Efficient elicitation of software configurations using crowd preferences and domain knowledge","year":2018,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Domain (mathematical analysis); Crowds; Software; ENCODE; Markov decision process; Human–computer interaction; Software engineering; Markov process","authors":[{"name":"Yasser González-Fernández","is_ca":true},{"name":"Saeideh Hamidi","is_ca":true},{"name":"Stephen Chen","is_ca":true},{"name":"Sotirios Liaskos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01944594519004193,"gpt":0.2811641795886182,"spread":0.2617182343985763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003007798,0.0009711707,0.001354345,0.001941487,0.000861576,0.001515928,0.001183133,0.00138869,0.004050321],"category_scores_gemma":[0.02025258,0.0007058313,0.0006797817,0.001942223,0.0005875909,0.00263981,0.002884836,0.0008180006,0.001007634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008003585,"about_ca_system_score_gemma":0.001521928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068951,"about_ca_topic_score_gemma":0.004991362,"domain_scores_codex":[0.9959047,0.001738861,0.000221397,0.000605561,0.001264116,0.0002652839],"domain_scores_gemma":[0.9806821,0.01386456,0.00089838,0.002294084,0.001763949,0.0004968174],"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":[0.00305694,0.001091215,0.01764519,0.001103539,0.0001953174,0.0006905039,0.002255216,0.2430701,0.08473395,0.01957773,0.006753661,0.6198266],"study_design_scores_gemma":[0.000141821,0.0003673277,0.006784063,0.00008180562,0.00005205409,0.0001929514,0.002219795,0.9034305,0.03419269,0.04886404,0.003583152,0.00008977018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4634171,0.0001803195,0.523251,0.000336218,0.00003548788,0.0004036121,0.0008990765,0.0009560697,0.01052109],"genre_scores_gemma":[0.8658884,0.00008683458,0.1313271,0.00005902136,0.00002100107,0.0002574367,0.001011035,0.00008607687,0.001263108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004050321,"threshold_uncertainty_score":0.01590693,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023831809","doi":"10.1007/s10515-008-0045-5","title":"From UML/SPT models to schedulability analysis: approach and a prototype implementation using ATL","year":2009,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Metamodeling; Unified Modeling Language; Computer science; Model transformation; Applications of UML; Programming language; UML tool; Object Constraint Language; Model-driven architecture; Software engineering; Transformation (genetics); Software; Artificial intelligence","authors":[{"name":"Abdelouahed Gherbi","is_ca":true},{"name":"Ferhat Khendek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01772066751551936,"gpt":0.274224577022942,"spread":0.2565039095074226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668439,0.0006762848,0.0004689528,0.0009550338,0.0004955584,0.002333398,0.002146245,0.000928629,0.006954203],"category_scores_gemma":[0.006447195,0.0007215167,0.0009015555,0.0007632708,0.0006388516,0.00280228,0.001454568,0.001999276,0.001680767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006904934,"about_ca_system_score_gemma":0.001522451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003919146,"about_ca_topic_score_gemma":0.002520368,"domain_scores_codex":[0.9987946,0.0003584491,0.0001101294,0.0001409003,0.0005153437,0.00008058855],"domain_scores_gemma":[0.9970374,0.001511808,0.0002015981,0.0006325595,0.0005397072,0.00007697169],"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":[0.0004504824,0.0006806678,0.002055018,0.0012554,0.0001365119,0.001108352,0.002461185,0.09459054,0.08939524,0.07677671,0.01639714,0.7146927],"study_design_scores_gemma":[0.0001381251,0.0001773468,0.0004791419,0.0001459919,0.0001175916,0.00043758,0.0003605845,0.849571,0.06653704,0.04769135,0.03428911,0.00005515318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009502109,0.00006361464,0.9747082,0.0002981097,0.00003916307,0.00009379899,0.0001390712,0.01288778,0.002268158],"genre_scores_gemma":[0.1760921,0.0002155454,0.8177164,0.00016708,0.00003726739,0.0001673804,0.0006613198,0.002263212,0.002679699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006954203,"threshold_uncertainty_score":0.02326411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386995089","doi":"10.1007/s10515-023-00399-5","title":"$$AI^{2}$$: the next leap toward native language-based and explainable machine learning framework","year":2023,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Machine learning; Artificial intelligence; Process (computing); Chatbot; Interface (matter); Preprocessor; Natural language processing; Programming language","authors":[{"name":"Jean-Sébastien Dessureault","is_ca":true},{"name":"Daniel Massicotte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02200965276098119,"gpt":0.2670099074727578,"spread":0.2450002547117766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004819979,0.0008668318,0.0008237452,0.001282252,0.001174615,0.006365337,0.00452731,0.002411777,0.02380275],"category_scores_gemma":[0.008166219,0.0005968332,0.00151218,0.0008944013,0.006259785,0.01636637,0.005158336,0.006209434,0.006683597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880183,"about_ca_system_score_gemma":0.002200223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560705,"about_ca_topic_score_gemma":0.00355616,"domain_scores_codex":[0.9972796,0.001525588,0.0001201188,0.000383334,0.0005078106,0.0001835419],"domain_scores_gemma":[0.9956697,0.00173864,0.0001473858,0.001367848,0.0006792807,0.0003971175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002015181,0.00002731119,0.0001367121,0.00006370544,0.00001240142,0.00002635635,0.0001396612,0.0009129113,0.0003926473,0.9635773,0.009503125,0.02518773],"study_design_scores_gemma":[0.000009062832,0.00001427615,0.000114994,0.00007295846,0.00001094121,0.0000664473,0.00007204263,0.02330137,0.0009316488,0.9073268,0.06805146,0.00002808494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001941315,0.0006688933,0.9689875,0.01282386,0.0005116104,0.00004095991,0.0002800159,0.002753495,0.01199236],"genre_scores_gemma":[0.1158163,0.001454704,0.8526646,0.003965353,0.001244099,0.0002823016,0.0009457507,0.002230275,0.0213967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02380275,"threshold_uncertainty_score":0.07962817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790715424","doi":"10.1007/s10515-018-0232-y","title":"Black-box tree test case generation through diversity","year":2018,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tree (set theory); Test case; Test (biology); Set (abstract data type); Black box; Algorithm; Random testing; Mathematics; Machine learning; Artificial intelligence","authors":[{"name":"Ali Shahbazi","is_ca":true},{"name":"Mahsa Panahandeh","is_ca":true},{"name":"James Miller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02478009358298911,"gpt":0.2482783946182936,"spread":0.2234983010353045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002764372,0.001195944,0.001205367,0.002771854,0.0006627486,0.001186578,0.002675201,0.00154447,0.005953312],"category_scores_gemma":[0.01438626,0.0006706211,0.001205544,0.001522042,0.001242654,0.002321739,0.003411466,0.001456882,0.001379675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007754545,"about_ca_system_score_gemma":0.001142365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225455,"about_ca_topic_score_gemma":0.002009292,"domain_scores_codex":[0.9958684,0.001517629,0.0002336485,0.0006746249,0.001311243,0.000394494],"domain_scores_gemma":[0.9864466,0.00873707,0.0006703557,0.002071247,0.001686133,0.0003884449],"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":[0.00115087,0.0005433657,0.007639464,0.0003700613,0.0001944037,0.00137681,0.0007657132,0.1963238,0.04701985,0.0297398,0.007607423,0.7072684],"study_design_scores_gemma":[0.0001595334,0.0002826997,0.0007225072,0.00006856362,0.00006943762,0.0005693675,0.00007859561,0.9325054,0.02164006,0.04029228,0.00357346,0.00003811688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04572258,0.0001245373,0.946303,0.0001673469,0.00002357509,0.0002156351,0.0001622944,0.004174587,0.003106405],"genre_scores_gemma":[0.4472496,0.00007214117,0.5488479,0.0002499823,0.00002483201,0.0002184189,0.000639635,0.0008253065,0.001872257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005953312,"threshold_uncertainty_score":0.01991582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392108776","doi":"10.1007/s10515-024-00416-1","title":"ReBack: recommending backports in social coding environments","year":2024,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Coding (social sciences); Computer science; Data science; World Wide Web; Sociology; Social science","authors":[{"name":"Debasish Chakroborti","is_ca":true},{"name":"Kevin A. Schneider","is_ca":true},{"name":"Chanchal K. Roy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01010461610838615,"gpt":0.2303020925873638,"spread":0.2201974764789776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001897432,0.001353002,0.0008042357,0.00330414,0.001349691,0.0014681,0.001627968,0.002112246,0.004299286],"category_scores_gemma":[0.01391819,0.0004702942,0.0005107521,0.001606453,0.000559739,0.004140803,0.001929472,0.00126006,0.002408277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279794,"about_ca_system_score_gemma":0.0009990494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294034,"about_ca_topic_score_gemma":0.02543055,"domain_scores_codex":[0.9982064,0.0005955365,0.00008301505,0.0003140248,0.0006243211,0.0001766344],"domain_scores_gemma":[0.991277,0.004068739,0.0005555256,0.002134101,0.001432824,0.0005319171],"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":[0.00264777,0.002485787,0.05371621,0.0005639977,0.0002339803,0.001099714,0.002127908,0.05621689,0.01670119,0.009643749,0.0962744,0.7582884],"study_design_scores_gemma":[0.00009054824,0.0003955392,0.005449547,0.00005753192,0.00005870323,0.0002630794,0.0007414245,0.9571959,0.01044186,0.01242402,0.01282492,0.00005693719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5429926,0.001401806,0.3477447,0.002260039,0.0007496966,0.0009093886,0.005800313,0.08103832,0.01710317],"genre_scores_gemma":[0.7783049,0.0002757573,0.1987261,0.0004177373,0.0001764769,0.0001704903,0.005893637,0.0009033649,0.01513137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294034,"threshold_uncertainty_score":0.02573007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415323141","doi":"10.1007/s10515-025-00556-y","title":"Graph neural networks for precise bug localization through structural program analysis","year":2025,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Graph; Classifier (UML); Software; Source code; Program analysis; Software bug; Artificial neural network; Debugging","authors":[{"name":"Leila Yousofvand","is_ca":false},{"name":"Seyfollah Soleimani","is_ca":false},{"name":"Vahid Rafe","is_ca":false},{"name":"Amin Nikanjam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008905159232018756,"gpt":0.2827451131800719,"spread":0.2738399539480532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007131019,0.00142536,0.000826809,0.004442336,0.0005035271,0.0007519764,0.001527993,0.001246311,0.001786441],"category_scores_gemma":[0.004006024,0.0004103273,0.0008107963,0.002274221,0.0004671626,0.001309289,0.0006944272,0.001250147,0.0006705869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357678,"about_ca_system_score_gemma":0.0009138702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876297,"about_ca_topic_score_gemma":0.0194332,"domain_scores_codex":[0.9994227,0.0001191223,0.00003535697,0.0002276733,0.0001228168,0.00007229819],"domain_scores_gemma":[0.9979767,0.001001756,0.0003358332,0.0001640163,0.0004568327,0.00006484711],"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":[0.0003593714,0.0003756839,0.01095165,0.0002877103,0.0001660555,0.0002216885,0.0001425106,0.4755333,0.006192873,0.003624153,0.007982046,0.4941629],"study_design_scores_gemma":[0.000004112499,0.00001589674,0.0004998648,0.00001009763,0.00001219286,0.00001034011,0.00001162067,0.9962734,0.0006325337,0.002247455,0.0002795007,0.00000312394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1989066,0.002254098,0.7808232,0.0008918534,0.0001769595,0.0002496947,0.001872327,0.01161284,0.003212408],"genre_scores_gemma":[0.8027868,0.0006052552,0.1886875,0.0002731989,0.00008478211,0.0002012414,0.004214796,0.000247454,0.002898906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01876297,"threshold_uncertainty_score":0.0373075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411008925","doi":"10.1007/s10515-025-00527-3","title":"What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach","year":2025,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anomaly detection; Transformer; Computer science; Data mining; Engineering; Electrical engineering; Voltage","authors":[{"name":"Xingfang Wu","is_ca":true},{"name":"Heng Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003629769477427413,"gpt":0.20170931337195,"spread":0.1980795438945226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002250646,0.0006828445,0.0009223441,0.002261874,0.0004509371,0.002769274,0.001722691,0.0009053951,0.002085689],"category_scores_gemma":[0.01953962,0.0004275707,0.000470028,0.001778018,0.0009801311,0.005877078,0.001231459,0.001227201,0.0006630875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007011634,"about_ca_system_score_gemma":0.0009035587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929333,"about_ca_topic_score_gemma":0.002009645,"domain_scores_codex":[0.9983896,0.0004225808,0.00009987703,0.0003457681,0.0006030092,0.000139131],"domain_scores_gemma":[0.9895591,0.005507266,0.0009840409,0.002092146,0.001542273,0.0003152387],"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":[0.001365584,0.0009838057,0.06688688,0.0003378483,0.0002410382,0.0009264069,0.0008969544,0.1427889,0.05340315,0.05403187,0.003678239,0.6744594],"study_design_scores_gemma":[0.00002240355,0.0001924877,0.008270906,0.00002711077,0.00008269554,0.0004311105,0.0001705561,0.9275004,0.01145056,0.05048199,0.001328431,0.00004148132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2543313,0.0005466206,0.737058,0.001190451,0.00009013018,0.00008045586,0.0002718523,0.002231308,0.00419985],"genre_scores_gemma":[0.9607999,0.000162796,0.03812811,0.0000671198,0.00005259057,0.00001481731,0.0001045051,0.00014713,0.0005230315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002769274,"threshold_uncertainty_score":0.01190269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":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","authors":[{"name":"Saikat Mondal","is_ca":true},{"name":"Gias Uddin","is_ca":true},{"name":"Chanchal K. Roy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004495158611059191,"gpt":0.2312673177474812,"spread":0.226772159136422,"validation_status":"score_only:v0-immature-baseline"},"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"},"labels":[],"label_agreement":null},{"id":"W1605434259","doi":"10.1007/s10515-009-0052-1","title":"Editorial for Special Issue of JASE on Source Code Analysis and Manipulation","year":2009,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Code (set theory); Programming language; Data science","authors":[{"name":"Michael W. Godfrey","is_ca":true},{"name":"Bogdan Korel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00544196218949826,"gpt":0.2417518971488359,"spread":0.2363099349593376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006161361,0.003739937,0.004352556,0.006146979,0.003142464,0.006554686,0.003497914,0.01723738,0.01687177],"category_scores_gemma":[0.02444793,0.001852323,0.003669563,0.001998727,0.002699659,0.004214631,0.002477695,0.01976022,0.009202668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178143,"about_ca_system_score_gemma":0.001601724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081369,"about_ca_topic_score_gemma":0.0035059,"domain_scores_codex":[0.9943401,0.0007157869,0.0007291885,0.000958914,0.00276027,0.000495691],"domain_scores_gemma":[0.9656228,0.01126846,0.003163847,0.001522847,0.01449505,0.003926952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007834671,0.00002277727,0.00006410573,0.000185184,0.00004106286,0.0001623595,0.00001072272,0.00002687034,0.0002142506,0.0001911142,0.9926327,0.00637043],"study_design_scores_gemma":[0.0001009464,0.00005856117,0.0009968086,0.0003649526,0.0001108608,0.0004628525,0.00003107652,0.0003336522,0.0003450837,0.001019661,0.9961441,0.00003140709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008407682,0.003564212,0.0002958697,0.03492756,0.9599478,0.00001850366,0.00004535388,0.00008729968,0.001029364],"genre_scores_gemma":[0.0005274264,0.001936358,0.0002105632,0.0206186,0.9693927,0.00002139896,0.00004173486,0.00007220379,0.00717895],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01723738,"threshold_uncertainty_score":0.05644172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4245670623","doi":"10.1023/b:ause.0000008695.71960.a3","title":"Introduction","year":2003,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Philosophy","authors":[{"name":"Andrea De Lucia","is_ca":false},{"name":"James R. Cordy","is_ca":true},{"name":"John Mylopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004929103958813917,"gpt":0.2047978929033946,"spread":0.1998687889445807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001094151,0.0008330097,0.0003982002,0.001657337,0.001255358,0.004436361,0.001608551,0.001655746,0.3403343],"category_scores_gemma":[0.004113376,0.0003312174,0.0006134968,0.001433296,0.0008634766,0.003886902,0.002763271,0.001763302,0.2669463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000985051,"about_ca_system_score_gemma":0.001463608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373529,"about_ca_topic_score_gemma":0.001563578,"domain_scores_codex":[0.9989184,0.0001577387,0.00004788065,0.0002785667,0.0004925509,0.0001049677],"domain_scores_gemma":[0.9979929,0.0003401068,0.00008572571,0.0004342276,0.0008846115,0.000262416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006141691,0.00006581844,0.0004466365,0.0002406464,0.000005886082,0.00007064953,0.0002403326,0.0003066437,0.00163989,0.1294476,0.4836944,0.38378],"study_design_scores_gemma":[0.00000370302,0.00001340759,0.0001989456,0.00005878427,0.000002272971,0.00006857912,0.00005099124,0.0001561667,0.0004134779,0.0140111,0.9850168,0.000005886614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001972009,0.002720858,0.07430263,0.009800621,0.006400838,0.0002751856,0.003754501,0.004647545,0.8961259],"genre_scores_gemma":[0.01618606,0.003105397,0.02765499,0.003948489,0.002740099,0.0002462,0.005619638,0.001169384,0.9393298],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3403343,"threshold_uncertainty_score":0.9409331,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}