{"id":"W4409795017","doi":"10.61091/jcmcc127b-392","title":"Research on Union Adaboost Based on Sample Weight Updating Mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); AdaBoost; Sample (material); Artificial intelligence; Computer science; Pattern recognition (psychology); Chemistry; Chromatography; Support vector machine; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004110596,0.000271917,0.0005441882,0.001495642,0.0008646015,0.0004314086,0.0005908045,0.000247808,0.00002395251],"category_scores_gemma":[0.001274386,0.0002408998,0.0001269136,0.001334538,0.0001419277,0.0002939739,0.0003249213,0.00112343,0.00001813777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397212,"about_ca_system_score_gemma":0.0001452007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007118856,"about_ca_topic_score_gemma":0.000002113529,"domain_scores_codex":[0.9974569,0.00008297661,0.0009492782,0.0002632349,0.0008355859,0.0004120415],"domain_scores_gemma":[0.996041,0.001814261,0.0007844252,0.0003657189,0.0009656976,0.00002892308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007446158,0.0005133155,0.0002576291,0.0001446645,0.00004688609,0.00001013986,0.00002785519,0.00007153178,0.0001050999,0.994736,0.002446663,0.001565757],"study_design_scores_gemma":[0.003166395,0.0003241217,0.00009571545,0.0009736882,0.00006334159,0.000002798268,0.0006193568,0.01890334,0.0006601795,0.9674096,0.007556543,0.0002249656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8444515,0.00007904229,0.02432469,0.01392207,0.04438973,0.001076779,0.000007194126,0.0003167826,0.07143223],"genre_scores_gemma":[0.9954618,0.000004993259,0.001751005,0.0004993643,0.002230244,0.000004106445,0.000005720388,0.0000321754,0.00001055748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1510103,"threshold_uncertainty_score":0.982361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821092812600578,"score_gpt":0.2986889547165522,"score_spread":0.2704780265905464,"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."}}