{"id":"W4247707248","doi":"10.1145/3262132","title":"Session details: Database principles","year":2003,"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; Database design; 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":[0.0006215575,0.0001419668,0.0001577258,0.0001072971,0.000237596,0.0002482251,0.001087479,0.00005147557,0.00009452253],"category_scores_gemma":[0.001076192,0.0001189469,0.00004937159,0.000288242,0.00002386598,0.001414618,0.0004161886,0.0001341549,0.0001740098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002765732,"about_ca_system_score_gemma":0.0001093994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004556285,"about_ca_topic_score_gemma":0.000002882406,"domain_scores_codex":[0.9987313,0.00006195024,0.0004087953,0.0002666588,0.000258215,0.0002730942],"domain_scores_gemma":[0.9982997,0.0001766472,0.0002478918,0.001074056,0.00009901384,0.0001027231],"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":[0.000005127399,0.0002274315,0.003330085,0.0004465668,0.00003313498,0.00001719943,0.005832279,0.0002470672,0.00107847,0.4241694,0.009685677,0.5549275],"study_design_scores_gemma":[0.00103048,0.0001256776,0.0004923634,0.0004890781,0.00001760408,0.0001291909,0.0003633025,0.4669723,0.02734064,0.09184592,0.4101481,0.001045389],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03126685,0.00009127001,0.9422684,0.0001757235,0.0006217946,0.0001175286,7.352621e-7,0.0002513664,0.02520636],"genre_scores_gemma":[0.2662489,0.00003730855,0.7316942,0.0005935116,0.00007120077,0.00001070867,0.000004894223,0.00001313016,0.001326124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5538821,"threshold_uncertainty_score":0.4850514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164952149940635,"score_gpt":0.2777147422639968,"score_spread":0.2260652207645904,"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."}}