{"id":"W2117508687","doi":"10.1145/1858996.1859050","title":"An experience report on scaling tools for mining software repositories using MapReduce","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Scalability; Software engineering; Software; Field (mathematics); Search-based software engineering; Data science; Scale (ratio); Heuristic; Software development; Software construction; Database; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009722134,0.0008041553,0.0004858315,0.003373188,0.001401914,0.002827751,0.001747221,0.0008441013,0.002792937],"category_scores_gemma":[0.02460423,0.0005542319,0.0009186508,0.005604195,0.0009125246,0.004688396,0.00178004,0.001447378,0.001739386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007542583,"about_ca_system_score_gemma":0.002417041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007554427,"about_ca_topic_score_gemma":0.008213371,"domain_scores_codex":[0.9947594,0.001128261,0.000337361,0.0006412321,0.002802903,0.0003309163],"domain_scores_gemma":[0.9798769,0.007759577,0.0005760006,0.004404062,0.006069137,0.001314269],"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":[0.0002665355,0.001456069,0.02205092,0.0007111664,0.0002070184,0.0009907254,0.007575118,0.006349507,0.02608272,0.00587585,0.05678662,0.8716477],"study_design_scores_gemma":[0.0002826301,0.002654996,0.06443459,0.0006235136,0.0004422074,0.004487935,0.01100733,0.06958931,0.08997641,0.01365226,0.742471,0.0003778336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4678487,0.00518741,0.3985289,0.01081975,0.0006840753,0.002244608,0.003385466,0.0270672,0.08423393],"genre_scores_gemma":[0.4434689,0.004619821,0.521744,0.001474621,0.0002907697,0.0005704245,0.005790036,0.002468992,0.0195724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009722134,"threshold_uncertainty_score":0.05141616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0511332506367634,"score_gpt":0.3470636156374646,"score_spread":0.2959303650007012,"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."}}