{"id":"W2964301819","doi":"","title":"Building an OSS Quality Estimation Model with CATREG","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Categorical variable; Software; Computer science; Regression analysis; Quality (philosophy); Software quality; Data mining; Estimation; Process (computing); Linear regression; Regression; Statistics; Software development; Machine learning; Mathematics; Engineering; Systems 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":[],"consensus_categories":[],"category_scores_codex":[0.003038798,0.0009520262,0.000891491,0.002005281,0.0003188176,0.001444077,0.00152098,0.001013074,0.002780822],"category_scores_gemma":[0.008447999,0.0006202225,0.001585359,0.001682252,0.0004775353,0.001277074,0.001019037,0.001207231,0.001127169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036809,"about_ca_system_score_gemma":0.00120204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008984316,"about_ca_topic_score_gemma":0.006199047,"domain_scores_codex":[0.9983287,0.0006146645,0.0001116038,0.0004403946,0.0003842128,0.0001203677],"domain_scores_gemma":[0.9954658,0.002580689,0.0006186869,0.0002787292,0.0009963238,0.00005966926],"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":[0.0001035364,0.0001154811,0.01281479,0.0001292662,0.0001382156,0.0001899584,0.0001844212,0.9049686,0.002675079,0.01174938,0.001112861,0.06581846],"study_design_scores_gemma":[0.000003130012,0.0000206902,0.0006861098,0.000006799843,0.00001486646,0.00002205016,0.00001231785,0.996663,0.0003288676,0.001846865,0.0003889216,0.000006412465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04055995,0.0001256874,0.956266,0.0001334713,0.00001561549,0.00006852383,0.0002993769,0.001502452,0.001028997],"genre_scores_gemma":[0.6919155,0.0003044686,0.3012525,0.0000957872,0.00002944709,0.0006134103,0.001676796,0.0003051558,0.003806899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008984316,"threshold_uncertainty_score":0.01786405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09189924603784294,"score_gpt":0.3719724061074943,"score_spread":0.2800731600696514,"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."}}