{"id":"W2035518679","doi":"10.1007/s101090300095","title":"Web-enabled spatial decision analysis using Ordered Weighted Averaging (OWA)","year":2002,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":149,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Representation (politics); Set (abstract data type); Decision support system; Operator (biology); Computer science; Data mining; Order (exchange); Web application; Software; Support vector machine; Machine learning; Artificial intelligence; Mathematics; World Wide Web","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":[0.004606722,0.0007226776,0.001880154,0.003700104,0.0008118976,0.00223141,0.001152933,0.0007001831,0.003492306],"category_scores_gemma":[0.01771598,0.0005680213,0.001505477,0.004883707,0.0004036501,0.0035463,0.001881227,0.0009493274,0.0003930194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009873948,"about_ca_system_score_gemma":0.001814699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375448,"about_ca_topic_score_gemma":0.01791556,"domain_scores_codex":[0.9962788,0.002007388,0.000337877,0.0003985916,0.0007885186,0.000188872],"domain_scores_gemma":[0.9908703,0.006224145,0.000434765,0.0007118874,0.001539729,0.0002191049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005399656,0.0005806741,0.008215048,0.0003938815,0.000944277,0.0001455504,0.0004298493,0.2537272,0.002581822,0.02277578,0.003092751,0.7065733],"study_design_scores_gemma":[0.00003079826,0.00007116605,0.0008690305,0.00001612167,0.0001134772,0.00002861699,0.00006418731,0.9771319,0.001340674,0.01918177,0.00112615,0.0000260918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05267565,0.0002282163,0.9435803,0.0001323034,0.00009412424,0.0001503625,0.0003415047,0.00119211,0.001605447],"genre_scores_gemma":[0.3462897,0.000139758,0.651914,0.00005652993,0.00004999026,0.0002567054,0.0004311138,0.0001052999,0.0007568827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01375448,"threshold_uncertainty_score":0.02734888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506438470675943,"score_gpt":0.2784993036003292,"score_spread":0.2534349188935698,"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."}}