{"id":"W2040199445","doi":"10.1007/s101090050024","title":"Using GIS to promote spatial analysis","year":2000,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Geographic information system; Exploratory analysis; Spatial analysis; GIS applications; Data science; Geography; Software; Regional science; Environmental planning; Computer science; Cartography; Remote sensing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01259185,0.0006847865,0.0006518404,0.007051802,0.00143626,0.007846607,0.001226136,0.001265204,0.01844222],"category_scores_gemma":[0.0500096,0.0009837591,0.0006992275,0.005582717,0.003068998,0.01506366,0.005352364,0.002676509,0.005592224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007656257,"about_ca_system_score_gemma":0.002107259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490735,"about_ca_topic_score_gemma":0.004922349,"domain_scores_codex":[0.9942421,0.003914053,0.0002928377,0.0002950841,0.001155235,0.000100632],"domain_scores_gemma":[0.9227477,0.06008435,0.001362902,0.008114279,0.006849578,0.0008412034],"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":[0.0001260566,0.0001890713,0.005813563,0.0009514736,0.0001281701,0.0004436226,0.01533979,0.005980584,0.006337579,0.4687138,0.101965,0.3940113],"study_design_scores_gemma":[0.00008162786,0.00004988184,0.002357396,0.0005195567,0.000101442,0.0004998803,0.005829043,0.0289028,0.005614036,0.4310165,0.5249495,0.00007829245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01490473,0.001166607,0.9046315,0.0227588,0.0009668242,0.0001311173,0.0006493765,0.005251356,0.0495396],"genre_scores_gemma":[0.1048699,0.001680751,0.8807314,0.001278675,0.0006132704,0.0002250567,0.0006604121,0.001857474,0.008083031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01844222,"threshold_uncertainty_score":0.06659287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974681211074457,"score_gpt":0.3174409251108444,"score_spread":0.2876941130000998,"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."}}