{"id":"W7095411140","doi":"","title":"INFX 2600 – Text Matching, Statistics, Web Services, and Swine Flu","year":2009,"lang":"en","type":"article","venue":"","topic":"Vladimir Nabokov Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Relevance (law); Vetting; Cover (algebra); Informatics; Web page; Domain (mathematical analysis)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769312,0.0001139362,0.0001612894,0.00005677108,0.0004499438,0.0001473546,0.0001607358,0.00005431034,0.0005037612],"category_scores_gemma":[0.00003672461,0.00009940052,0.00001823134,0.0001712675,0.0001238486,0.0003200785,0.0000488655,0.00008408307,0.00009465058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003031174,"about_ca_system_score_gemma":0.00005538172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084686,"about_ca_topic_score_gemma":0.006433259,"domain_scores_codex":[0.9989892,0.00007276052,0.0001735239,0.000202047,0.0002644874,0.000297937],"domain_scores_gemma":[0.9995304,0.00009943882,0.00004992158,0.0001221663,0.00007377653,0.0001242353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000399888,0.0001916132,0.04362723,0.0001007014,0.00008942941,0.00005279829,0.1144788,0.000004742714,0.0003822032,0.6176247,0.1309707,0.09243707],"study_design_scores_gemma":[0.0005610149,0.0001272524,0.09039582,0.00004135002,0.00002625625,0.000002498568,0.008653184,0.0001305586,0.00001948757,0.05334584,0.846319,0.0003777534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4366996,0.002396384,0.0004849063,0.0211021,0.0005629506,0.0005612317,0.0001354303,0.0005460014,0.5375114],"genre_scores_gemma":[0.9680202,0.0005377273,0.007333944,0.003926051,0.0002894366,0.000003182345,0.00001087168,0.00000814593,0.01987047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7153483,"threshold_uncertainty_score":0.5515832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008299215150869633,"score_gpt":0.2806629003738252,"score_spread":0.2723636852229556,"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."}}