{"id":"W2476333189","doi":"10.4018/978-1-59904-933-5.ch032","title":"Internet-Based Spatial Decision Support Using Open Source Tools","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Public participation GIS; Context (archaeology); Geographic information system; The Internet; Knowledge management; World Wide Web; Computer science; Decision support system; Data science; Spatial decision support system; Resource (disambiguation); GIS and public health; Geography; Cartography; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000646345,0.0004079545,0.0006448254,0.0001492564,0.0007671954,0.0005563864,0.001109594,0.0005399454,0.000303815],"category_scores_gemma":[0.0001226463,0.0004100809,0.0003132607,0.00004593409,0.0004963393,0.0002461278,0.000588358,0.0002457865,0.0004888897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000562275,"about_ca_system_score_gemma":0.0009491156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986658,"about_ca_topic_score_gemma":0.01070169,"domain_scores_codex":[0.9970471,0.00005341281,0.000818501,0.0004198181,0.001166012,0.0004951732],"domain_scores_gemma":[0.998162,0.0001281597,0.0006549127,0.0004229194,0.0004269224,0.0002050365],"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":[0.0001216397,0.00001336862,0.000720063,0.0000264778,0.0001807348,0.00007107715,0.006180933,0.00003812085,4.839304e-7,0.920208,0.02418987,0.04824927],"study_design_scores_gemma":[0.0005996748,0.000074631,0.0001020404,0.0003975322,0.00005767301,0.00002137897,0.000487654,0.00005424446,0.000003602229,0.01165907,0.985966,0.0005765254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004074785,0.00006402631,0.005812006,0.00003727859,0.001110175,0.00110816,0.0001012583,0.0001457017,0.9912139],"genre_scores_gemma":[0.7254422,0.00001572662,0.003336679,0.002187761,0.001163641,0.0000563734,0.00002575744,0.00009256739,0.2676792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9617761,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07387225507768022,"score_gpt":0.3168013780689916,"score_spread":0.2429291229913113,"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."}}