{"id":"W2097443371","doi":"10.1145/1571941.1572003","title":"Smoothing clickthrough data for web search ranking","year":2009,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Ranking (information retrieval); Information retrieval; Smoothing; Estimator; Cluster analysis; Data mining; Machine learning; Artificial intelligence; Mathematics; Statistics","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":[0.003800493,0.0006980431,0.001040655,0.002303827,0.000316293,0.0007191806,0.0007142036,0.0009950456,0.0005105019],"category_scores_gemma":[0.01777351,0.0004789389,0.0006923652,0.001902574,0.0004417201,0.001935527,0.0004463213,0.001246041,0.0004879216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007729609,"about_ca_system_score_gemma":0.0006158733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876971,"about_ca_topic_score_gemma":0.01036391,"domain_scores_codex":[0.9988092,0.0005652748,0.00008729099,0.0002093069,0.0002540881,0.00007487086],"domain_scores_gemma":[0.9885347,0.007546515,0.001186657,0.001730024,0.000809022,0.0001930078],"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":[0.0008492909,0.0004895899,0.03965262,0.0003730744,0.0003277127,0.0001668409,0.0002947812,0.5047116,0.01343519,0.007683794,0.004764408,0.4272511],"study_design_scores_gemma":[0.00001872487,0.0001140918,0.008015414,0.00001185364,0.00003188603,0.00006994376,0.00001401659,0.9840803,0.002786786,0.00376402,0.001056721,0.00003635194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3199829,0.002279395,0.6719897,0.0003527758,0.00007573691,0.0001184563,0.0008907409,0.003404033,0.0009063004],"genre_scores_gemma":[0.9305933,0.0004308037,0.0662705,0.00005467279,0.00008345706,0.00005749989,0.001445321,0.0001012711,0.0009632622],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006876971,"threshold_uncertainty_score":0.02009916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1244217204774397,"score_gpt":0.3708430013819626,"score_spread":0.2464212809045229,"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."}}