{"id":"W4238142139","doi":"10.1145/3262194","title":"Session details: Database principles","year":2006,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Session (web analytics); Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004005811,0.0001404318,0.0001539153,0.0001150365,0.0002307405,0.0002870181,0.001239109,0.00005083495,0.00004975754],"category_scores_gemma":[0.0002546998,0.0001179195,0.00005064539,0.0002664552,0.00002570106,0.001453968,0.0007043275,0.0001185378,0.0001527024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912469,"about_ca_system_score_gemma":0.00007161054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863382,"about_ca_topic_score_gemma":0.00001286922,"domain_scores_codex":[0.9987204,0.00003200222,0.0004502445,0.0002604411,0.000271328,0.0002655693],"domain_scores_gemma":[0.9984506,0.0001487964,0.0002739207,0.000966778,0.00009702409,0.00006290786],"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":[0.000008428219,0.0003096065,0.005858141,0.0005136221,0.00002255275,0.00002360209,0.002398353,0.0007998082,0.002152711,0.2290269,0.03107507,0.7278112],"study_design_scores_gemma":[0.0005938819,0.00006251015,0.001776345,0.0003058533,0.00001052012,0.0000500541,0.00008416845,0.783008,0.01107846,0.07350182,0.128903,0.0006253548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05662098,0.00008390432,0.9240166,0.0003409449,0.000471419,0.0001119345,0.000001296292,0.0003421775,0.01801076],"genre_scores_gemma":[0.3743936,0.00001662816,0.6229414,0.0004036873,0.0002569781,0.00001084888,0.00001738254,0.00001386813,0.001945539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7822083,"threshold_uncertainty_score":0.4808617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559642318195582,"score_gpt":0.2633261416628337,"score_spread":0.2277297184808779,"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."}}