{"id":"W2134347783","doi":"10.1155/2009/829725","title":"Improving Effort Estimation by Voting Software Estimation Models","year":2009,"lang":"en","type":"article","venue":"Advances in Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Benchmarking; Estimation; Software; Task (project management); Software metric; Software sizing; Software development; Data mining; Use Case Points; Software project management; Data science; Software engineering; Software quality; Software construction; 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":[0.01603705,0.0016986,0.002993344,0.003844028,0.0007481331,0.002947794,0.003409516,0.002226051,0.001589882],"category_scores_gemma":[0.07698764,0.001217237,0.001587676,0.003808233,0.0005745613,0.00525753,0.002684212,0.002312789,0.0009788502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000970159,"about_ca_system_score_gemma":0.001237489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704,"about_ca_topic_score_gemma":0.005025785,"domain_scores_codex":[0.9856198,0.007023226,0.001344831,0.002811146,0.002502297,0.0006986614],"domain_scores_gemma":[0.9507863,0.0307248,0.003710744,0.007423832,0.006831733,0.0005225705],"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":[0.0006009993,0.0003382573,0.04101661,0.0002750575,0.0003759778,0.0001348723,0.0004331967,0.4333005,0.005740529,0.009991565,0.004360111,0.5034325],"study_design_scores_gemma":[0.00002279272,0.00008401104,0.002378647,0.0000297473,0.00005538385,0.00004226802,0.00004521078,0.9880031,0.00200876,0.006449959,0.0008561766,0.00002394152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06436556,0.000365679,0.9322624,0.0002539338,0.00007184972,0.00006863275,0.0001857122,0.00124692,0.001179346],"genre_scores_gemma":[0.6689037,0.0002629414,0.327298,0.0001489019,0.0001101191,0.0001977927,0.001441951,0.0003407856,0.001295841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01603705,"threshold_uncertainty_score":0.084813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006556375910602392,"score_gpt":0.2484223100629285,"score_spread":0.2418659341523261,"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."}}