{"id":"W2339356764","doi":"10.1145/1862413.1862416","title":"Intrinsic dimensionality","year":2010,"lang":"en","type":"article","venue":"SIGSPATIAL Special","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Curse of dimensionality; Search engine indexing; Similarity (geometry); Computer science; Information retrieval; Workload; Gauge (firearms); Data mining; Theoretical computer science; Artificial intelligence; Geography","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":[0.006091996,0.001171399,0.001713442,0.003025901,0.001454559,0.008235813,0.001957498,0.002061236,0.003198846],"category_scores_gemma":[0.03134698,0.0006315873,0.001498568,0.002765536,0.008162797,0.0116638,0.005659152,0.00542911,0.001179722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190258,"about_ca_system_score_gemma":0.002059876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007688697,"about_ca_topic_score_gemma":0.0003367333,"domain_scores_codex":[0.9892776,0.002809726,0.001103313,0.002486482,0.00389311,0.0004296582],"domain_scores_gemma":[0.9772676,0.009334009,0.002379586,0.007003785,0.003336019,0.0006789186],"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":[0.00009554587,0.00006279619,0.004561439,0.0009272488,0.0001926964,0.0002009869,0.0007368522,0.005253487,0.002696199,0.8862274,0.01490227,0.08414322],"study_design_scores_gemma":[0.00001981812,0.00009447952,0.003299869,0.0002952704,0.00009411207,0.001391289,0.0002774115,0.02106918,0.002074257,0.9069768,0.06430405,0.0001035434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03716489,0.02762367,0.8680912,0.01429645,0.002827567,0.0004004541,0.004008272,0.0008040839,0.04478338],"genre_scores_gemma":[0.695972,0.02036665,0.2537152,0.006449494,0.005918828,0.001814546,0.00320215,0.0003313957,0.01222975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008235813,"threshold_uncertainty_score":0.03221792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007444802359127508,"score_gpt":0.2222023692268766,"score_spread":0.2147575668677491,"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."}}