{"id":"W2407544020","doi":"","title":"Ranking Web Pages Using Collective Knowledge.","year":2011,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Search engine indexing; Information retrieval; Web page; Ranking (information retrieval); World Wide Web; Static web page; Index (typography); Web navigation","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":[0.002927383,0.00110925,0.001734135,0.02312804,0.001287911,0.004313236,0.00122542,0.001014984,0.002873558],"category_scores_gemma":[0.01337517,0.0004465196,0.001127966,0.01421608,0.0005735827,0.004948688,0.001989674,0.000974493,0.003321356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251378,"about_ca_system_score_gemma":0.001480682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004978637,"about_ca_topic_score_gemma":0.01435791,"domain_scores_codex":[0.9968514,0.0005423191,0.000228782,0.0004784484,0.001694759,0.0002042334],"domain_scores_gemma":[0.9924893,0.002709763,0.0008930835,0.001777537,0.001677537,0.0004528276],"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":[0.0002112216,0.0005819359,0.02225172,0.0008206472,0.0005794395,0.0002192354,0.0005069761,0.01242577,0.007846484,0.01112836,0.05087525,0.892553],"study_design_scores_gemma":[0.0001952299,0.001065924,0.06435592,0.0005733579,0.001264076,0.001835949,0.001911187,0.5113569,0.03404561,0.2263054,0.1566932,0.0003972744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.212673,0.01673969,0.6544166,0.002420217,0.0007356385,0.00204992,0.02216678,0.02194862,0.06684953],"genre_scores_gemma":[0.6349729,0.003353688,0.313951,0.0002472528,0.0006964006,0.0005018158,0.03066734,0.0006419564,0.01496762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02312804,"threshold_uncertainty_score":0.01548165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401130716483935,"score_gpt":0.2917074747109926,"score_spread":0.1515944030625991,"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."}}