{"id":"W3181666189","doi":"10.1109/mdm52706.2021.00022","title":"Efficient Spatio-Textual Similarity Join Processing on NUMA Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Exploit; Similarity (geometry); Join (topology); Context (archaeology); Architecture; Theoretical computer science; Distributed computing; Parallel computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002571169,0.0001085289,0.0001186301,0.00006142651,0.0001471837,0.0007853209,0.0005044881,0.00002904091,0.00004276018],"category_scores_gemma":[0.00003070395,0.00009180261,0.00003351802,0.0004090768,0.00001610522,0.0002214482,0.0003913363,0.00008585201,0.0001964066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003306024,"about_ca_system_score_gemma":0.00005548764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002239498,"about_ca_topic_score_gemma":0.000008491118,"domain_scores_codex":[0.9987415,0.00004875648,0.0001738041,0.0004226092,0.0003831687,0.0002301807],"domain_scores_gemma":[0.9992675,0.00003084353,0.00005172241,0.0005006936,0.00008627064,0.00006299085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005404802,0.000793463,0.0004430583,0.0002305709,0.00003775693,0.0003491908,0.0004994172,0.02030312,0.0001643544,0.6510004,0.03009226,0.2960809],"study_design_scores_gemma":[0.0002036355,0.00003090802,0.0006684954,0.00004871525,0.000003770085,0.000006192861,0.0001441273,0.9833671,0.0005262366,0.0001359524,0.01470141,0.0001634799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007496743,0.0001159218,0.9289485,0.001225724,0.000593076,0.0001556838,0.00000556845,0.0003011714,0.06115763],"genre_scores_gemma":[0.9706471,0.000003415796,0.02249243,0.000740777,0.0001484397,0.0000117462,0.00003027979,0.000008419329,0.00591739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9631504,"threshold_uncertainty_score":0.7572867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463191388345858,"score_gpt":0.2497561267766515,"score_spread":0.2251242128931929,"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."}}