{"id":"W1972495172","doi":"10.1145/2723372.2723725","title":"TEGRA","year":2015,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Row; Table (database); Relational database; Schema (genetic algorithms); World Wide Web; Data mining; Database","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":[0.001715157,0.001221643,0.0008845153,0.002831692,0.001917685,0.006846135,0.002016395,0.002635883,0.4085029],"category_scores_gemma":[0.004577252,0.0006176491,0.0008104233,0.002159743,0.0009918772,0.003123365,0.004187234,0.002219223,0.3504872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880904,"about_ca_system_score_gemma":0.002702109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297971,"about_ca_topic_score_gemma":0.002546622,"domain_scores_codex":[0.9977955,0.0003572581,0.000164991,0.0005780408,0.0008276562,0.0002766396],"domain_scores_gemma":[0.9977963,0.0002814173,0.000188512,0.0005795885,0.0007303238,0.0004239087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005938322,0.0001742162,0.002672923,0.0009541686,0.00006733648,0.000960056,0.0006753035,0.00082484,0.005611499,0.06674267,0.3776146,0.5431085],"study_design_scores_gemma":[0.00001837126,0.00003272097,0.0005480079,0.0001231382,0.00001336794,0.0004615318,0.0001044837,0.0003296171,0.001287921,0.003791531,0.9932758,0.00001361775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00766729,0.01274943,0.02400012,0.008833779,0.006582872,0.000380318,0.01071193,0.008037601,0.9210367],"genre_scores_gemma":[0.05747311,0.008074243,0.0170334,0.003759641,0.001680678,0.000318975,0.0121261,0.002410649,0.8971232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4085029,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05405638443133703,"score_gpt":0.2543020114080482,"score_spread":0.2002456269767112,"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."}}