{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002543243,0.001068423,0.002055082,0.001337941,0.003033555,0.008892196,0.002271698,0.003930729,0.7449129],"category_scores_gemma":[0.007563874,0.0008691293,0.001278609,0.003036582,0.001355651,0.005613128,0.00378286,0.00463111,0.6386268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060472,"about_ca_system_score_gemma":0.001719207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009562921,"about_ca_topic_score_gemma":0.001124719,"domain_scores_codex":[0.9981817,0.0004144843,0.000101187,0.0004965091,0.0006401483,0.0001659501],"domain_scores_gemma":[0.9963882,0.001161023,0.000121308,0.001080489,0.0006243886,0.0006246571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001537433,0.0000585754,0.0001263718,0.0002334676,0.00001580621,0.00004288804,0.00004426866,0.00007450191,0.001038182,0.03815509,0.9222961,0.03776091],"study_design_scores_gemma":[0.00006828202,0.00002727544,0.0002654987,0.00006151946,0.00001277344,0.0001241126,0.00003296374,0.0002495015,0.0005643637,0.01296436,0.9856167,0.00001248609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001055674,0.009137281,0.01743746,0.02859141,0.01530345,0.0004752111,0.01467516,0.003348481,0.9099759],"genre_scores_gemma":[0.02340777,0.006618856,0.005410207,0.004402653,0.009811939,0.0002849167,0.008401434,0.001071106,0.9405912],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7449129,"threshold_uncertainty_score":0.3638507,"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."}}