{"id":"W4407832170","doi":"10.1109/icdm59182.2024.00038","title":"A Learned Approach to Index Algorithm Selection","year":2024,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Selection (genetic algorithm); Index (typography); Algorithm; Selection algorithm; Algorithm design; Artificial intelligence","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":[0.002590902,0.0009339401,0.000774551,0.001282636,0.000640682,0.001822774,0.002255963,0.0009717724,0.002837171],"category_scores_gemma":[0.01203871,0.0005056893,0.0006086251,0.001122966,0.001188684,0.00322596,0.001767286,0.001577854,0.0009592669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415773,"about_ca_system_score_gemma":0.002500989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898397,"about_ca_topic_score_gemma":0.003762369,"domain_scores_codex":[0.9974537,0.0006472545,0.0001906976,0.0005240662,0.0009637361,0.0002204534],"domain_scores_gemma":[0.9955834,0.001943101,0.0003427136,0.0006797035,0.001266603,0.0001845379],"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":[0.0004475892,0.0004295474,0.007307022,0.0003755384,0.0001347843,0.000226047,0.0004688269,0.2324917,0.02451576,0.0408105,0.006968001,0.6858247],"study_design_scores_gemma":[0.00003125185,0.0002042679,0.0005108911,0.00002541031,0.00003139476,0.0001262424,0.00005356822,0.9695922,0.009798955,0.01534646,0.004258396,0.00002110761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0257778,0.0004713647,0.9678988,0.0004548243,0.00004981099,0.0002028305,0.0001115753,0.00161165,0.003421248],"genre_scores_gemma":[0.4290327,0.0005420508,0.5641716,0.0004734951,0.0001382953,0.0004513292,0.0004416856,0.0002579321,0.004490999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002837171,"threshold_uncertainty_score":0.01370215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693024910446635,"score_gpt":0.2367513801846861,"score_spread":0.2198211310802197,"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."}}