{"id":"W1603364293","doi":"","title":"Learning coordination classifiers","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Boosting (machine learning); Classifier (UML); Computer science; Artificial intelligence; Independent and identically distributed random variables; Machine learning; Random subspace method; Ensemble learning; Training set; Pattern recognition (psychology); Mathematics; Random variable; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004740959,0.001427147,0.002340666,0.002058585,0.001169519,0.002220767,0.003417802,0.001759527,0.00351102],"category_scores_gemma":[0.01244658,0.0008131399,0.00139398,0.002022731,0.00122645,0.003863507,0.003414393,0.002871728,0.002570261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001972,"about_ca_system_score_gemma":0.001558806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330525,"about_ca_topic_score_gemma":0.001493641,"domain_scores_codex":[0.9965999,0.001050107,0.0001628402,0.00106174,0.0008650252,0.0002604065],"domain_scores_gemma":[0.9942743,0.001905827,0.0005501087,0.001703823,0.001202934,0.0003629632],"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":[0.0004375377,0.0002979054,0.00678219,0.0002337454,0.0004361055,0.0002141439,0.0003279038,0.2066921,0.007694098,0.1065829,0.02087803,0.6494234],"study_design_scores_gemma":[0.00004086802,0.0001228387,0.0004920442,0.00002613234,0.00008080709,0.00008222503,0.00004258064,0.8944617,0.003155119,0.09455592,0.006918745,0.00002100065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007417941,0.000218083,0.9885699,0.0002355944,0.0000916432,0.00006597716,0.0001327144,0.0007535352,0.002514598],"genre_scores_gemma":[0.3664267,0.0005373319,0.6229898,0.0006531971,0.0004655683,0.0005826075,0.001500417,0.0003501359,0.006494262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004740959,"threshold_uncertainty_score":0.02507287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295116583469489,"score_gpt":0.2415834441972576,"score_spread":0.2286322783625627,"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."}}