{"id":"W2901528478","doi":"10.1139/geomat-2018-0017","title":"A GIS-based multi-criteria decision analysis approach for public school site selection in Surabaya, Indonesia","year":2018,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Multiple-criteria decision analysis; Site selection; Geographic information system; Government (linguistics); Geography; Environmental planning; Population; Transport engineering; Environmental resource management; Computer science; Cartography; Operations research; Engineering; Political science; Environmental science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008839073,0.0001412694,0.0002945944,0.000288526,0.0001892449,0.000102708,0.0001966448,0.0001013339,0.002372135],"category_scores_gemma":[0.0003373261,0.0001162542,0.0001946315,0.002207146,0.0001237737,0.0002307945,0.00005701507,0.00007739295,0.0002142063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584308,"about_ca_system_score_gemma":0.00001948065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073611,"about_ca_topic_score_gemma":0.006380865,"domain_scores_codex":[0.9984626,0.0001173912,0.0003554798,0.0004323392,0.0002834023,0.0003487733],"domain_scores_gemma":[0.9993145,0.0001544035,0.00007531568,0.0002787863,0.00003318474,0.0001438389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005428694,0.0003240551,0.990164,0.00001253254,0.00006515093,4.117312e-7,0.0001847133,0.002059069,0.0006074548,0.000003446097,0.00022979,0.006295105],"study_design_scores_gemma":[0.000413971,0.00003611752,0.4716,0.000002280628,0.00009348884,4.36675e-7,0.00004034523,0.5274437,0.00006812968,0.00008145689,0.0001251951,0.00009486685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755422,0.000005472647,0.2438552,0.0001300095,0.00001482561,0.0002205454,0.000008126461,0.0000322153,0.0003115836],"genre_scores_gemma":[0.9480764,7.660023e-7,0.0515071,0.0001326804,0.00003215547,0.0001042396,0.00006340429,0.000008740826,0.00007449458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5253847,"threshold_uncertainty_score":0.9985398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221629577066642,"score_gpt":0.2691633047410553,"score_spread":0.2469470089703889,"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."}}