{"id":"W3196831515","doi":"10.1145/3461001.3473054","title":"REVE 2021","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Software product line; Computer science; Software engineering; Domain engineering; Scope (computer science); Domain (mathematical analysis); Reuse; Domain analysis; Semantics (computer science); Legacy system; Reverse engineering; Product (mathematics); Software; Data science; Software development; Programming language; Component-based software engineering; Software construction; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002848292,0.000933977,0.0006415717,0.001756836,0.002032974,0.0062725,0.001952297,0.004513969,0.6117128],"category_scores_gemma":[0.009313752,0.0006136871,0.0007998656,0.001160966,0.0009178485,0.00296941,0.003053338,0.003008789,0.3753526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460356,"about_ca_system_score_gemma":0.003229797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007210331,"about_ca_topic_score_gemma":0.01129811,"domain_scores_codex":[0.9975236,0.0003855448,0.000138934,0.0004569807,0.00120717,0.0002877686],"domain_scores_gemma":[0.9965527,0.0005526978,0.0001956361,0.0006268425,0.001479168,0.0005929325],"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":[0.0002030694,0.00008063751,0.000706132,0.0003841186,0.00001707229,0.0002324575,0.0001572958,0.0001713114,0.001751092,0.03936271,0.8534696,0.1034645],"study_design_scores_gemma":[0.0000114855,0.00001836561,0.0002334631,0.00005784165,0.00000238751,0.00008631277,0.00002767872,0.00006519313,0.0002365436,0.001696563,0.9975574,0.000006670901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001313961,0.001708285,0.005208487,0.008912941,0.005616986,0.0002949301,0.007902036,0.004290498,0.964752],"genre_scores_gemma":[0.009229933,0.001085157,0.004141959,0.005904934,0.001023628,0.000263648,0.008228464,0.00165887,0.9684634],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3882872,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053241504829798,"score_gpt":0.2829296823076688,"score_spread":0.2523972672593708,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}