{"id":"W4394053924","doi":"10.5281/zenodo.883812","title":"Empirical Data From A Longitudinal Software Maintenance Experiment","year":2017,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Software; Longitudinal data; Empirical research; Computer science; Statistics; Data mining; Mathematics; Programming language","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":[0.002280475,0.001285229,0.000967555,0.002407246,0.0008412095,0.001109709,0.002533115,0.002207411,0.008430642],"category_scores_gemma":[0.009063993,0.000441315,0.0008116676,0.003484803,0.0005700956,0.0009574357,0.00174814,0.001852532,0.01398718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617897,"about_ca_system_score_gemma":0.002669204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01972214,"about_ca_topic_score_gemma":0.04405548,"domain_scores_codex":[0.9979907,0.000422026,0.000213021,0.0004186853,0.0007239748,0.0002315817],"domain_scores_gemma":[0.9938426,0.001885487,0.0005005333,0.001394035,0.001795758,0.0005815831],"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":[0.0005756975,0.000997189,0.02262206,0.0008387772,0.0001250598,0.0002175897,0.0002271168,0.00205049,0.0009134076,0.000924104,0.951387,0.01912143],"study_design_scores_gemma":[0.001379161,0.000484552,0.1396522,0.0005474759,0.0001954529,0.0007482998,0.0009460351,0.01017502,0.003905977,0.002420231,0.8393747,0.0001708022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0294921,0.0003128697,0.0009407522,0.0004558557,0.0001163747,0.0002110171,0.9654273,0.0009220203,0.002121794],"genre_scores_gemma":[0.008472026,0.00008893586,0.001049683,0.0001153392,0.00001744893,0.0003906025,0.9885926,0.00006637849,0.001206967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01972214,"threshold_uncertainty_score":0.03921467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726297677289785,"score_gpt":0.3437017101189482,"score_spread":0.2864387333460504,"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."}}