{"id":"W1989290647","doi":"10.1145/568760.568763","title":"Computational intelligence as an emerging paradigm of software engineering","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software engineering; Software; Data science; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001638032,0.0001053179,0.0001153735,0.0001961496,0.0000363809,0.0000592018,0.0007688006,0.0000354343,0.0002147637],"category_scores_gemma":[0.0004816157,0.0001084235,0.00003840994,0.0005252681,0.00002177842,0.000464263,0.0001457003,0.0001245571,0.0001153845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986954,"about_ca_system_score_gemma":0.00001898231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175342,"about_ca_topic_score_gemma":4.707715e-7,"domain_scores_codex":[0.9988642,0.00001458839,0.0002024311,0.0002617497,0.0004027129,0.0002542618],"domain_scores_gemma":[0.9988248,0.0005757827,0.00002720384,0.0003762331,0.0000720562,0.0001239027],"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":[9.840987e-7,0.00008313514,0.005929608,0.00004252073,0.00002003988,0.00002189144,0.001000473,0.8572142,0.00005279351,0.09728989,0.0002047412,0.03813977],"study_design_scores_gemma":[0.00005340236,0.00006800225,0.004553386,0.00001816666,9.384801e-7,0.00002690196,0.000008046065,0.99133,0.001332472,0.002186069,0.0002793969,0.0001432393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04216922,0.0001081939,0.9568391,0.0001210303,0.0001294645,0.00006514071,6.47496e-7,0.0004722927,0.00009494879],"genre_scores_gemma":[0.7455249,0.000005367839,0.2543284,0.00002600903,0.00002117728,0.000005179337,0.000001055571,0.000009362419,0.00007860268],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7033557,"threshold_uncertainty_score":0.4421384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202099377119315,"score_gpt":0.2824354343057133,"score_spread":0.2504144405345202,"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."}}