{"id":"W3136198913","doi":"10.1145/3261861","title":"Session details: Database principle","year":2006,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Advanced Database Systems and Queries","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; Programming language; 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":[0.0002188441,0.000164892,0.0001824464,0.00007649724,0.0001836347,0.00005832689,0.0008222996,0.00004955056,0.00004098564],"category_scores_gemma":[0.0001403561,0.0001353328,0.00005529504,0.0002922083,0.0000351232,0.001346665,0.0009437556,0.0001243984,0.0001684611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003625173,"about_ca_system_score_gemma":0.00005647819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003978954,"about_ca_topic_score_gemma":0.0002496503,"domain_scores_codex":[0.9985827,0.00005981509,0.0002949093,0.0004912235,0.0002437802,0.0003275451],"domain_scores_gemma":[0.9977756,0.0001252908,0.0001284562,0.001828549,0.00006000971,0.00008209783],"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":[0.00003979162,0.0003065305,0.01856316,0.000144211,0.00002688595,0.0002629081,0.0001638395,0.000196713,0.03751428,0.6178782,0.03731148,0.287592],"study_design_scores_gemma":[0.0004194079,0.00007032068,0.002346118,0.00009243638,0.000005337393,0.0000419024,0.00002183906,0.005609464,0.01138701,0.006023387,0.9735752,0.0004075211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05351526,0.0002373185,0.9425979,0.0003211999,0.0007781995,0.0001780744,0.00002967598,0.0003118285,0.002030556],"genre_scores_gemma":[0.1728058,0.00004085463,0.8229064,0.000220702,0.000485632,0.00005462551,0.0001130946,0.00002604534,0.003346898],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9362637,"threshold_uncertainty_score":0.5518712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097696140861867,"score_gpt":0.2764887543090294,"score_spread":0.2555117929004108,"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."}}