{"id":"W1979392992","doi":"10.1145/2009916.2010060","title":"Parallel learning to rank for information retrieval","year":2011,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Learning to rank; Ranking (information retrieval); Rank (graph theory); Computer science; Machine learning; Ranking SVM; Information retrieval; Scale (ratio); Artificial intelligence; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004359343,0.00118728,0.00242099,0.001630907,0.0009758971,0.001981187,0.001919996,0.001236729,0.00432827],"category_scores_gemma":[0.0181504,0.0004988313,0.0009788059,0.003022986,0.001598597,0.00398054,0.001729727,0.001913619,0.002095879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379549,"about_ca_system_score_gemma":0.001866576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515991,"about_ca_topic_score_gemma":0.004717315,"domain_scores_codex":[0.9966893,0.001332187,0.0001965902,0.0004730825,0.001055829,0.0002530963],"domain_scores_gemma":[0.9925392,0.003780327,0.0006506849,0.00164044,0.001194671,0.0001946974],"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":[0.0003208222,0.0004570757,0.001180038,0.0004642156,0.0001314985,0.00009822904,0.0001086931,0.4128169,0.002686742,0.08741279,0.0120635,0.4822595],"study_design_scores_gemma":[0.00003488725,0.000128603,0.0001820593,0.00000943329,0.00002152541,0.00004524164,0.00001364569,0.9119291,0.001165043,0.08426629,0.002188082,0.00001603028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01096434,0.002118429,0.9820923,0.000519153,0.0001404847,0.0001535429,0.0001396718,0.001087116,0.002785051],"genre_scores_gemma":[0.4127918,0.003077047,0.5733713,0.0004135403,0.0008572706,0.0005557042,0.0007512409,0.0002950646,0.007887104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004359343,"threshold_uncertainty_score":0.02305472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04381466520199773,"score_gpt":0.26896191400584,"score_spread":0.2251472488038423,"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."}}