{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933373,0.00009129613,0.00009303918,0.00005343193,0.0001139227,0.0001844172,0.0007642197,0.00004137264,0.0006536287],"category_scores_gemma":[0.00006886343,0.00008266811,0.00004459326,0.0002009675,0.0000458083,0.0005080769,0.0005147601,0.000184643,0.0006341069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009187024,"about_ca_system_score_gemma":0.00002566273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007605294,"about_ca_topic_score_gemma":0.0002625799,"domain_scores_codex":[0.9990669,0.00002079159,0.0001353545,0.0002829485,0.0002919707,0.000202022],"domain_scores_gemma":[0.9993396,0.00003389554,0.00004460477,0.0004570974,0.00004331245,0.00008146877],"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":[0.000004280249,0.00005842354,0.0003726833,0.000001831125,0.000006550824,0.00001946564,0.00005511329,6.856307e-7,0.000623413,0.4881914,0.02317745,0.4874887],"study_design_scores_gemma":[0.0006722296,0.00007382186,0.05267055,0.000003938449,0.000007393834,0.000005621093,0.000004637647,0.002863254,0.002027615,0.05218732,0.8890812,0.0004023481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2865783,0.00002156082,0.4129049,0.01320107,0.05330303,0.0009895292,0.00007483814,0.001239353,0.2316875],"genre_scores_gemma":[0.9266784,0.000003507214,0.04899809,0.001069423,0.02208587,0.00001200306,0.00004777599,0.00001288376,0.001092089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8659038,"threshold_uncertainty_score":0.8150373,"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."}}