{"id":"W2977089467","doi":"10.1109/iccse.2019.8845381","title":"Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models","year":2019,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Symbolic regression; Genetic programming; Computer science; Machine learning; Artificial intelligence; Field (mathematics); Data mining; Regression analysis; Data modeling; Regression; Predictive modelling; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009670389,0.0000742644,0.00006972856,0.00004573302,0.00007933005,0.00008080441,0.0006560667,0.00002371688,0.000006611838],"category_scores_gemma":[8.812236e-7,0.00005732891,0.000009166909,0.0001785281,0.00001568358,0.0004970825,0.0002094449,0.00005699235,0.00002304029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001773705,"about_ca_system_score_gemma":0.00002341268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003843966,"about_ca_topic_score_gemma":0.000007946463,"domain_scores_codex":[0.9992211,0.00001068833,0.0001061033,0.0003651992,0.0001620647,0.0001348666],"domain_scores_gemma":[0.9990124,0.00001967326,0.00003914623,0.0008666273,0.00002876743,0.00003346233],"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":[0.00002009752,0.0006614639,0.05619987,0.00004836953,0.00008177203,0.000003491649,0.0008739874,0.03949248,0.001091309,0.3287913,0.002683392,0.5700524],"study_design_scores_gemma":[0.00008576065,0.0001006135,0.002340902,0.00003278456,0.000002646348,0.000009432291,0.00002539067,0.9899281,0.0001826726,0.0005307078,0.006673371,0.00008760459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02088849,0.00001795506,0.9667883,0.0001691605,0.00002475947,0.0003045848,0.000002710957,0.0004096614,0.01139441],"genre_scores_gemma":[0.37146,0.000001693855,0.628101,0.00006881042,0.00003015942,0.00003394809,0.000007351149,0.000005681165,0.0002913917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9504356,"threshold_uncertainty_score":0.2337805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274053156540136,"score_gpt":0.2639642092301623,"score_spread":0.211223677664761,"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."}}