{"id":"W2403585915","doi":"","title":"University of Ottawa at TREC 2010 Web Track Ranking Web Documents Using Meta-Data","year":2010,"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":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Track (disk drive); Ranking (information retrieval); Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009206556,0.001996802,0.002186654,0.007361643,0.004986791,0.008567633,0.002980205,0.001699443,0.04607755],"category_scores_gemma":[0.01557219,0.001387502,0.0009926368,0.007491638,0.001691746,0.005238658,0.001667178,0.002575822,0.0240755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02348439,"about_ca_system_score_gemma":0.03517812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.832477,"about_ca_topic_score_gemma":0.8948792,"domain_scores_codex":[0.9934769,0.0008896525,0.00030149,0.0008778123,0.003447707,0.001006471],"domain_scores_gemma":[0.9607899,0.002942892,0.0004730314,0.002895601,0.02840463,0.004494096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004684631,0.0002117168,0.002407877,0.0002221993,0.00005549366,0.00006542487,0.0001665179,0.00167241,0.002642578,0.001791217,0.929446,0.06085013],"study_design_scores_gemma":[0.0005124972,0.0003809478,0.02694826,0.0004282427,0.0003136637,0.0001785249,0.001457414,0.02803431,0.02504309,0.004611707,0.9117294,0.0003619226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1093102,0.03715201,0.04969872,0.08597151,0.0227293,0.002215936,0.4120395,0.03917145,0.2417114],"genre_scores_gemma":[0.1300956,0.01017485,0.06737836,0.00160501,0.001248725,0.0004015886,0.2184267,0.003258476,0.5674107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.832477,"threshold_uncertainty_score":0.3370191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0936111074354567,"score_gpt":0.2862664339247185,"score_spread":0.1926553264892618,"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."}}