{"id":"W2043893472","doi":"10.1145/2132176.2132232","title":"VDMs for finding and re-finding web search results","year":2012,"lang":"en","type":"article","venue":"Proceedings of the 2012 iConference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; World Wide Web; Information retrieval","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":[0.002601261,0.00126396,0.0009290516,0.002873876,0.0004758834,0.001703996,0.002087339,0.001369264,0.01244397],"category_scores_gemma":[0.01437738,0.0005569793,0.0009034498,0.001533316,0.0004395361,0.003443253,0.004062388,0.001059056,0.004009933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821524,"about_ca_system_score_gemma":0.0004765708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000923,"about_ca_topic_score_gemma":0.002021381,"domain_scores_codex":[0.9981636,0.0006752698,0.000169658,0.0002670167,0.0006311199,0.00009327804],"domain_scores_gemma":[0.9895281,0.007736688,0.0003830018,0.00137906,0.0005773817,0.0003956512],"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":[0.002296478,0.0005062166,0.004865532,0.003109775,0.0001956814,0.0008337608,0.003813389,0.002573817,0.06132891,0.006070708,0.04113528,0.8732705],"study_design_scores_gemma":[0.001816906,0.003261145,0.03375389,0.002334854,0.0006781134,0.007268199,0.006275434,0.2175189,0.1156482,0.04659181,0.5639132,0.000939314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1129842,0.004674139,0.7308457,0.000914696,0.000346505,0.001279704,0.004506847,0.1299928,0.01445537],"genre_scores_gemma":[0.1967913,0.0009754241,0.7879631,0.0003063405,0.00009169936,0.0008977844,0.003431231,0.002082112,0.007460956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01244397,"threshold_uncertainty_score":0.0416292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078359101481355,"score_gpt":0.2996684287116851,"score_spread":0.2213093272303301,"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."}}