{"id":"W2140407154","doi":"10.5555/1036843.1036887","title":"Active model selection","year":2004,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Task (project management); Simple (philosophy); Set (abstract data type); Selection (genetic algorithm); Artificial intelligence; Model selection; Sample (material); Machine learning; Active learning (machine learning); Field (mathematics); Sample complexity; 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":[0.00003846339,0.00003685399,0.00003167212,0.00002817383,0.00006072295,0.00003642451,0.0001521008,0.00001566636,0.000008155213],"category_scores_gemma":[0.000006408323,0.00003005121,0.00001654545,0.0001341678,0.000004418784,0.0001910258,0.0000354602,0.00007625666,0.00006864548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002302499,"about_ca_system_score_gemma":0.00003499752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000752242,"about_ca_topic_score_gemma":0.000005889771,"domain_scores_codex":[0.9996707,0.000006619677,0.00003581464,0.0001239432,0.0000758481,0.00008709796],"domain_scores_gemma":[0.999851,0.000004826902,0.00001206542,0.00008538186,0.00001879663,0.00002790981],"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":[0.000001275764,0.00003808346,0.00003482039,0.000001219213,0.000004702801,0.000001271279,0.0005108258,0.4920393,0.0006883881,0.3837922,0.0001867488,0.1227011],"study_design_scores_gemma":[0.0001207347,0.00002376008,0.0002052877,0.000001276864,4.498417e-7,0.000006302204,0.000003184516,0.9683174,0.003995001,0.02706185,0.0002163103,0.00004837455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006899516,0.000002016701,0.9693706,0.001158216,0.00005135139,0.00001988303,6.45911e-8,0.000242627,0.02225572],"genre_scores_gemma":[0.7128155,6.754788e-7,0.2849158,0.0002622248,0.00002814265,0.000001867382,2.054204e-7,0.000001918707,0.001973673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.705916,"threshold_uncertainty_score":0.1225453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008331924834581646,"score_gpt":0.2432273949317493,"score_spread":0.2348954700971677,"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."}}