{"id":"W2950680102","doi":"10.1613/jair.2861","title":"ParamILS: An Automatic Algorithm Configuration Framework","year":2009,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":868,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds De La Recherche Scientifique - FNRS","keywords":"Computer science; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006468293,0.002075024,0.001619586,0.002535275,0.001000177,0.003973432,0.006449062,0.001573955,0.01377877],"category_scores_gemma":[0.02153515,0.001821895,0.001824011,0.001571793,0.001448039,0.004779598,0.004456338,0.004476169,0.005830805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706553,"about_ca_system_score_gemma":0.003747485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804111,"about_ca_topic_score_gemma":0.002722797,"domain_scores_codex":[0.9938542,0.002120579,0.000562782,0.0009525534,0.00203448,0.0004755273],"domain_scores_gemma":[0.9921207,0.003754105,0.0005655599,0.002169012,0.001141269,0.0002492581],"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":[0.001082551,0.0005225237,0.002177864,0.001126792,0.0002185843,0.0004399251,0.0004207735,0.2122748,0.01805091,0.07652105,0.0643884,0.6227758],"study_design_scores_gemma":[0.0002819512,0.000159941,0.0004129253,0.0001242443,0.00005136942,0.000249839,0.0000691782,0.888005,0.02124219,0.04584089,0.04343589,0.0001266719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002245158,0.0001620963,0.9335461,0.0001436788,0.00004408438,0.0003086526,0.0005587641,0.06036428,0.002627165],"genre_scores_gemma":[0.06390143,0.0001639958,0.9239173,0.0002155921,0.0000606367,0.001217581,0.001818835,0.007122113,0.001582541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01377877,"threshold_uncertainty_score":0.0460946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317989993784504,"score_gpt":0.4330978139636827,"score_spread":0.3012988145852324,"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."}}