{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002695411,0.00009384088,0.0001720099,0.0005103695,0.0002411882,0.0005595533,0.0006928926,0.0001056194,0.0002152002],"category_scores_gemma":[0.0006998332,0.00008234097,0.00007489429,0.0009714768,0.0001069186,0.001285788,0.00002859926,0.0006489058,0.00009577684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029833,"about_ca_system_score_gemma":0.0003120291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000784536,"about_ca_topic_score_gemma":0.000004490466,"domain_scores_codex":[0.9974569,0.0003788173,0.0006755476,0.0001878976,0.0009853191,0.0003155388],"domain_scores_gemma":[0.9977697,0.0003622062,0.000220992,0.0003085313,0.001117304,0.0002212619],"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":[0.000007233642,0.0001059511,0.000007197234,0.000001857213,0.000005413895,0.00002504357,0.0008360335,0.001653283,0.000834292,0.09942779,0.00006404477,0.8970318],"study_design_scores_gemma":[0.00001999192,0.0007433739,0.0005695195,0.00005883939,0.000002742384,0.00008036155,0.0006867655,0.7412845,0.01279114,0.2435119,0.0001535925,0.00009727454],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006466527,0.00005869308,0.9893742,0.003154361,0.0003754575,0.000127318,4.553011e-7,0.00004130184,0.0004016993],"genre_scores_gemma":[0.7044448,0.00009123165,0.2950411,0.0001321056,0.000266373,0.00000127201,6.720128e-7,0.000004098448,0.00001830815],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8969346,"threshold_uncertainty_score":0.5395786,"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."}}