{"id":"W4246773344","doi":"10.1145/3262443","title":"Session details: Database principles","year":2002,"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":[0.0003412525,0.0001417559,0.0001578267,0.0001160744,0.0002407601,0.0002707682,0.001409492,0.00005163846,0.0002571],"category_scores_gemma":[0.0005151634,0.0001189135,0.00005143325,0.000282968,0.00002572573,0.001648465,0.0007665522,0.0001403432,0.000440024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002617205,"about_ca_system_score_gemma":0.00002410639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005582897,"about_ca_topic_score_gemma":0.000002625189,"domain_scores_codex":[0.9987347,0.00003541925,0.0004141232,0.0002667872,0.0002777458,0.000271224],"domain_scores_gemma":[0.9982982,0.000162074,0.0002504699,0.001099611,0.00008717366,0.0001024794],"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":[0.000001864368,0.0001401553,0.0009051531,0.0002184983,0.00001566331,0.00001090065,0.004932286,0.00009891319,0.0003369089,0.02629091,0.0173343,0.9497144],"study_design_scores_gemma":[0.0002685069,0.00003981094,0.0001399222,0.0001570807,0.000004834445,0.00003037421,0.00006202392,0.914968,0.00194636,0.006920632,0.07517496,0.0002874839],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02968894,0.0001773622,0.9452212,0.0006776677,0.0006210273,0.0001328881,0.000001222705,0.0004022537,0.02307739],"genre_scores_gemma":[0.3579013,0.0001161983,0.6374607,0.0009712111,0.0002044735,0.00001357472,0.000006118219,0.00001742545,0.003308974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9494269,"threshold_uncertainty_score":0.5655766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07280586807241568,"score_gpt":0.2691107056749638,"score_spread":0.1963048376025481,"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."}}