{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910933,0.00007178185,0.00008970604,0.00007536613,0.0002133688,0.0003464242,0.00170212,0.00003849155,0.0000350576],"category_scores_gemma":[0.00005827629,0.00005731293,0.00003460233,0.0002817316,0.00001541533,0.002035095,0.0003248786,0.0001062454,0.00007117527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002053516,"about_ca_system_score_gemma":0.0001044455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179211,"about_ca_topic_score_gemma":0.0000019255,"domain_scores_codex":[0.9988899,0.00002129193,0.0001967619,0.000233386,0.0003494306,0.000309207],"domain_scores_gemma":[0.9988727,0.00008462767,0.00002656985,0.0008356754,0.0001122287,0.00006822834],"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":[0.00001746098,0.00006451214,0.0001224437,0.00001722201,0.000006276432,0.000004494324,0.001125468,0.00003429547,0.002204302,0.3286289,0.01188789,0.6558867],"study_design_scores_gemma":[0.001017376,0.0002116537,0.002747339,0.00001769418,0.000004756871,0.00001390375,0.00009419022,0.8586345,0.004116146,0.002717483,0.1301491,0.0002758587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007487622,0.00001728446,0.9772093,0.004746515,0.0001489591,0.0002989991,0.00001158555,0.0002174576,0.009862315],"genre_scores_gemma":[0.7443203,0.00001076758,0.2504095,0.003680865,0.000123108,0.000005473285,0.00005676073,0.000004857499,0.001388422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8586002,"threshold_uncertainty_score":0.3340577,"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."}}