{"id":"W4232924440","doi":"10.1145/3262559","title":"Session details: Database principles","year":2004,"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; Information retrieval; World Wide Web","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":[0.0003950079,0.0001419156,0.0001552248,0.0001135214,0.0002381383,0.0002563078,0.001388284,0.00005203395,0.00003497277],"category_scores_gemma":[0.0004718797,0.0001186763,0.00005146087,0.0002793795,0.00002768152,0.001682533,0.0008033904,0.0001397281,0.0002044902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004993588,"about_ca_system_score_gemma":0.0001389407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001743634,"about_ca_topic_score_gemma":0.000007279426,"domain_scores_codex":[0.998763,0.00002223979,0.0004069407,0.0002664452,0.0002751741,0.0002661698],"domain_scores_gemma":[0.9984256,0.00009700554,0.0002460037,0.001033774,0.00009471381,0.0001028964],"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":[0.000008715523,0.0002812368,0.001065244,0.0004832745,0.00003313925,0.00002825346,0.009802258,0.00193762,0.001527117,0.2349872,0.002521392,0.7473246],"study_design_scores_gemma":[0.003010689,0.0003057261,0.001497193,0.001598127,0.00003046685,0.0002187965,0.0005410848,0.4802729,0.04759572,0.3400912,0.1230403,0.001797744],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06091055,0.00006321193,0.931322,0.0006133802,0.0005006505,0.0001152835,9.472326e-7,0.0003184735,0.006155459],"genre_scores_gemma":[0.3284224,0.000031958,0.6703703,0.0006471327,0.0001225962,0.000008874675,0.000007069514,0.00001131305,0.0003782743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7455269,"threshold_uncertainty_score":0.4839477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760966187545459,"score_gpt":0.2783804266532686,"score_spread":0.230770764777814,"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."}}