{"id":"W2024678590","doi":"10.1145/602421.602453","title":"Use of the SAND spatial browser for digital government applications","year":2003,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Interface (matter); Spatial analysis; World Wide Web; The Internet; Information retrieval; Web browser; Spatial data infrastructure; Agency (philosophy); Remote sensing; 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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0001294157,0.00004861488,0.00006201225,0.00001001421,0.0001839028,0.00007904116,0.01992842,0.00001199012,0.000001357323],"category_scores_gemma":[0.001214488,0.00003069665,0.00007736906,0.0002005144,0.0001335728,0.0003285898,0.01179537,0.00004628161,0.000002167565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001673466,"about_ca_system_score_gemma":0.00002075556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353116,"about_ca_topic_score_gemma":0.00001189262,"domain_scores_codex":[0.9994749,0.00004233437,0.0001611363,0.00009064611,0.0001618916,0.00006902032],"domain_scores_gemma":[0.9790797,0.0002677638,0.0001545772,0.02043418,0.0000514106,0.00001234411],"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":[0.000004941932,0.0007427868,0.007910985,0.00004322639,0.0001266176,1.479444e-8,0.0003653083,0.0001623516,0.001119562,0.8284336,0.06215153,0.09893907],"study_design_scores_gemma":[0.0003673617,0.00002624337,0.01391246,0.00003861501,0.00004648906,0.000001015801,0.00005626413,0.007321951,0.009930844,0.1121918,0.855957,0.0001498705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006141207,0.0004370958,0.9071463,0.06390684,0.0004326601,0.003464992,0.0007205314,0.00007375419,0.01767667],"genre_scores_gemma":[0.7550055,0.00004561778,0.2437507,0.0001441447,0.000008887473,0.0001377433,0.00000891983,0.000005888101,0.0008926239],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7938055,"threshold_uncertainty_score":0.996197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115913605671689,"score_gpt":0.2656214992029471,"score_spread":0.2044623631462302,"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."}}