{"id":"W3023548333","doi":"10.1088/1402-4896/ab8dff","title":"Boosted decision trees approach to neck alpha events discrimination in DEAP-3600 experiment","year":2020,"lang":"en","type":"article","venue":"Physica Scripta","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gradient boosting; Decision tree; Boosting (machine learning); Alternating decision tree; Alpha (finance); Decision tree learning; Energy (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004249474,0.0002326366,0.0003003042,0.00002987366,0.0001098514,0.00004070227,0.0002456279,0.00001738081,0.00004975391],"category_scores_gemma":[0.000008659785,0.0002038272,0.0001138641,0.0003385119,0.00004757486,0.0002093261,0.0002553074,0.0001048472,0.0002290102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000460461,"about_ca_system_score_gemma":0.00001037424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291966,"about_ca_topic_score_gemma":8.123189e-7,"domain_scores_codex":[0.9986034,0.00004395714,0.0002629844,0.000445162,0.000282257,0.0003622508],"domain_scores_gemma":[0.999478,0.00001922131,0.0000492157,0.0001981686,0.0000287402,0.0002266411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008109931,0.006538222,0.02573392,0.0000397467,0.0002434196,0.000002911241,0.03471412,0.0005808746,0.4426939,0.395691,0.01978978,0.07316118],"study_design_scores_gemma":[0.003734452,0.0006192178,0.02977442,0.0001497557,0.00007532378,2.51497e-7,0.01033727,0.02415461,0.8436514,0.0794337,0.006797692,0.001271906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761287,0.00008171747,0.005708426,0.001126171,0.0001305669,0.0004205157,0.00002141017,0.00004546116,0.01633705],"genre_scores_gemma":[0.9981304,0.000001186143,0.001047287,0.0002598279,0.0002630731,0.0001897978,0.00003350846,0.00002380308,0.00005115617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4009576,"threshold_uncertainty_score":0.8311833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010702901206039,"score_gpt":0.2835089854428404,"score_spread":0.25340195643078,"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."}}