{"id":"W2127424603","doi":"","title":"GIS for the public sectorc Experiences from the city of Belo Horizonte, Brazil","year":2000,"lang":"en","type":"article","venue":"Information Polity archive","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geographic information system; Sanitation; Public participation GIS; Environmental planning; Situated; GIS Day; Government (linguistics); Local government; Geography; GIS and public health; Environmental resource management; Environmental protection; Cartography; Computer science; Engineering; Environmental engineering; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001298608,0.00009988115,0.000146746,0.00006471727,0.00180655,0.0001963644,0.0005863082,0.0000493222,0.0004657376],"category_scores_gemma":[0.0005149185,0.00005948702,0.0001325721,0.000332557,0.0009258286,0.001735526,0.00005461974,0.000102664,0.00005319832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003582556,"about_ca_system_score_gemma":0.0001546366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772284,"about_ca_topic_score_gemma":0.005746332,"domain_scores_codex":[0.998387,0.0001661192,0.0005433019,0.00006919653,0.0005342427,0.0003001776],"domain_scores_gemma":[0.9977705,0.001328375,0.0003170975,0.0002667251,0.0002560029,0.0000612751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002423088,0.00001492262,0.008427852,0.00001329691,0.00008649909,1.984816e-8,0.8630376,0.00001047013,9.563499e-7,0.0857489,0.01602432,0.02661086],"study_design_scores_gemma":[0.0002343723,0.000029152,0.0830153,0.00001150355,0.00001040622,3.907581e-7,0.2290977,0.0001602166,0.00001947681,0.007806515,0.6795183,0.00009657782],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805971,0.0001725221,0.009167534,0.02676641,0.0009807204,0.002328545,0.001125832,0.0001672657,0.2786941],"genre_scores_gemma":[0.9980133,0.00009421985,0.0001562994,0.001084422,0.0001802618,0.0002615603,0.00004434011,0.000002208634,0.0001634019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6634941,"threshold_uncertainty_score":0.9994929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770768011042233,"score_gpt":0.2914995012420096,"score_spread":0.2637918211315873,"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."}}