{"id":"W2115406066","doi":"","title":"Enhancing Geographical Information Systems Capabilities with Multi-Criteria Evaluation Functions","year":2003,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Geographic information system; Domain (mathematical analysis); Information system; Decision support system; Spatial decision support system; Spatial analysis; Term (time); Data science; Operations research; Management science; Systems engineering; Data mining; Geography; Engineering; Cartography; Remote sensing; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003472891,0.0001315784,0.0001716773,0.000324022,0.001224541,0.0003168883,0.00008786334,0.0001030414,0.0002762513],"category_scores_gemma":[0.0005767859,0.0001051896,0.00005617773,0.0007305475,0.0002724633,0.001907484,0.00001176158,0.00009529028,0.0001510994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247482,"about_ca_system_score_gemma":0.000219053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853444,"about_ca_topic_score_gemma":0.008034998,"domain_scores_codex":[0.9977242,0.0003930517,0.0004991529,0.0001225273,0.000928665,0.0003324093],"domain_scores_gemma":[0.9981312,0.0001272015,0.0001786338,0.0001858647,0.001283226,0.0000939254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003446239,0.0001356648,0.104524,0.0002951752,0.0002886801,4.1479e-7,0.2165078,0.0009681552,0.0000469944,0.6730896,0.002397757,0.001711274],"study_design_scores_gemma":[0.00139646,0.0001037931,0.01483238,0.00009956992,0.00009094993,0.00001133231,0.7631765,0.00168192,0.0000598981,0.0002827673,0.2177804,0.0004840127],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2707017,0.0004867193,0.07842751,0.0005321567,0.003221705,0.003598334,0.00002283441,0.000740997,0.6422681],"genre_scores_gemma":[0.9975143,0.00001543979,0.0008975163,0.00006937566,0.00005368573,0.0003627674,0.0000182442,0.000004841183,0.001063823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7268127,"threshold_uncertainty_score":0.9418303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285718949063399,"score_gpt":0.2986605706140877,"score_spread":0.2700886757077479,"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."}}