{"id":"W2128869116","doi":"10.1145/380752.380841","title":"Data-streams and histograms","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":269,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Histogram; Computer science; Linear programming; Distribution (mathematics); Dynamic programming; Quadratic equation; Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.002495144,0.001058022,0.001496375,0.002595461,0.0009806728,0.004825578,0.00215611,0.001399167,0.007861633],"category_scores_gemma":[0.02140999,0.0009248856,0.0008047547,0.007276801,0.002056646,0.01196595,0.003982807,0.003488725,0.003258941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344336,"about_ca_system_score_gemma":0.001313931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682844,"about_ca_topic_score_gemma":0.001087401,"domain_scores_codex":[0.9959399,0.00100312,0.0003679606,0.0006389329,0.001812534,0.0002375852],"domain_scores_gemma":[0.9908042,0.004328257,0.0006072102,0.002422255,0.001400984,0.0004371722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005801644,0.0001080682,0.001835811,0.0005990236,0.00006011774,0.0001497539,0.0002390494,0.04365494,0.003876117,0.6398599,0.02595516,0.2830819],"study_design_scores_gemma":[0.00007130366,0.00007836203,0.0006046523,0.0001428075,0.00002436741,0.0003996412,0.0001780876,0.1892768,0.009844886,0.7179381,0.08138289,0.00005802262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003913265,0.002321396,0.9851167,0.0007207888,0.0002374057,0.0001319238,0.0008899103,0.002879624,0.003789018],"genre_scores_gemma":[0.1724151,0.006001609,0.8064589,0.0007538965,0.0007281959,0.0004259948,0.003771538,0.001071531,0.008373226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007861633,"threshold_uncertainty_score":0.02629983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536069541127206,"score_gpt":0.2771039333433259,"score_spread":0.2317432379320538,"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."}}