{"id":"W2026730210","doi":"10.1145/362084.362104","title":"Generating spatiotemporal datasets on the WWW","year":2000,"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":"University of Alberta","funders":"Financiadora de Estudos e Projetos; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Search engine indexing; Data mining; Information retrieval; Interface (matter); Database; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003022141,0.0001127354,0.00008337827,0.0000361724,0.000211668,0.0003213739,0.002114062,0.00002445661,0.0005691629],"category_scores_gemma":[0.0000628488,0.00007496291,0.00003399621,0.0002160983,0.00002192668,0.0005853166,0.0004157474,0.0001156224,0.001079743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169127,"about_ca_system_score_gemma":0.00001268142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008796137,"about_ca_topic_score_gemma":0.0000239456,"domain_scores_codex":[0.9990119,0.00006371942,0.0001520546,0.0003405428,0.000216871,0.0002148978],"domain_scores_gemma":[0.9981888,0.0001228146,0.00004791646,0.001589766,0.000009720684,0.00004098015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002118765,0.00002351102,0.00008806538,0.000001597972,0.000008268771,0.00001119189,0.00002912354,0.00004800066,0.00002727194,0.00347471,0.1262856,0.8700006],"study_design_scores_gemma":[0.0002228123,0.0001263977,0.0005259264,0.00001937995,0.000005742433,0.00000294592,0.000009292813,0.2267267,0.0004395647,0.003963111,0.767701,0.0002571773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6059836,0.0002645525,0.258378,0.07071173,0.004541916,0.001885118,0.0004608115,0.001469941,0.05630436],"genre_scores_gemma":[0.3761817,0.0003733227,0.5552338,0.02823809,0.002926155,0.0001635503,0.001539438,0.00008677708,0.03525723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8697434,"threshold_uncertainty_score":0.999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161233494466065,"score_gpt":0.2537045766043308,"score_spread":0.2220922416596702,"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."}}