{"id":"W3041888157","doi":"10.1145/376284.375685","title":"Independence is good","year":2001,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Curse of dimensionality; Data mining; Histogram; Independence (probability theory); Exploit; Set (abstract data type); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; 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":[0.006546968,0.001330362,0.002248258,0.002739788,0.002525625,0.005940655,0.002112143,0.001967209,0.03155677],"category_scores_gemma":[0.04981917,0.001214906,0.001652854,0.005061986,0.003406732,0.01744038,0.006522203,0.004075538,0.01437533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745179,"about_ca_system_score_gemma":0.002823886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00429688,"about_ca_topic_score_gemma":0.003827128,"domain_scores_codex":[0.9886979,0.002224565,0.0008166891,0.003751446,0.003641909,0.000867553],"domain_scores_gemma":[0.97638,0.008175113,0.001283811,0.01025632,0.003023374,0.000881431],"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":[0.000878419,0.000230595,0.01559135,0.0008224549,0.0004750399,0.0007181868,0.001737485,0.03195253,0.004710854,0.4428381,0.1188916,0.3811535],"study_design_scores_gemma":[0.00009699642,0.0001814442,0.006437684,0.0002255331,0.0001666584,0.002471795,0.000992563,0.08963518,0.003662664,0.7495847,0.1463928,0.0001518885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.03241799,0.003231093,0.8589856,0.009185302,0.0007949766,0.0003339254,0.004804097,0.003306734,0.08694024],"genre_scores_gemma":[0.7009514,0.006058804,0.2163912,0.00663498,0.002111687,0.0009393914,0.01343959,0.00204866,0.05142418],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03155677,"threshold_uncertainty_score":0.105568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571035878820951,"score_gpt":0.2582570222251933,"score_spread":0.2325466634369838,"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."}}