{"id":"W2138601625","doi":"10.5430/air.v4n2p45","title":"Automated selection of a software effort estimation model based on accuracy and uncertainty","year":2015,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Software Engineering Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Machine learning; Software; Selection (genetic algorithm); Estimation; Data mining; Process (computing); Model selection; Bayesian probability; Artificial intelligence; Software development; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00791575,0.001190933,0.001780596,0.004014917,0.0006856021,0.002438829,0.001531576,0.001150835,0.0005811257],"category_scores_gemma":[0.03160903,0.0007481138,0.001271844,0.001426905,0.0005882254,0.002483883,0.001534431,0.001457468,0.0002905038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386994,"about_ca_system_score_gemma":0.002936547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005487093,"about_ca_topic_score_gemma":0.00517097,"domain_scores_codex":[0.9946243,0.002396006,0.0004240798,0.0007439228,0.001507768,0.0003038451],"domain_scores_gemma":[0.9800285,0.01280904,0.002048321,0.001743518,0.003142535,0.0002280327],"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":[0.0002602966,0.000377301,0.02286613,0.000192007,0.0002412353,0.0001244814,0.000275102,0.7824255,0.007416943,0.006141523,0.001416248,0.1782631],"study_design_scores_gemma":[0.00001346018,0.00005591521,0.002266414,0.00002323959,0.00002862173,0.00002990421,0.00003205259,0.9921665,0.002669473,0.002393634,0.0003006797,0.00002014286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.094997,0.000176753,0.9025099,0.0002539895,0.00001288875,0.0001216899,0.0001480201,0.0009368266,0.0008429481],"genre_scores_gemma":[0.7587066,0.0001656827,0.2394801,0.0000772947,0.00002773823,0.0003282659,0.0007194151,0.0001122091,0.0003826015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00791575,"threshold_uncertainty_score":0.04186296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494272806277806,"score_gpt":0.4149915128714236,"score_spread":0.265564232243643,"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."}}