{"id":"W1999696793","doi":"10.1504/ijetm.2006.008251","title":"Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach","year":2005,"lang":"en","type":"article","venue":"International Journal of Environmental Technology and Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generality; Geographic information system; Watershed; Computer science; Order (exchange); Data mining; Mathematical optimization; Operations research; Mathematics; Machine learning; Geography; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001565044,0.0001379751,0.0002426449,0.002534148,0.0001583745,0.0004290824,0.0007778903,0.00007647416,0.00006757013],"category_scores_gemma":[0.0001315607,0.00008713501,0.00009235535,0.0005490392,0.0002217937,0.0008092989,0.000524859,0.0002122741,0.0000110632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006867998,"about_ca_system_score_gemma":0.000003511487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005232013,"about_ca_topic_score_gemma":0.000003533064,"domain_scores_codex":[0.9977058,0.00009491751,0.0009205056,0.0002025628,0.0009391928,0.0001369763],"domain_scores_gemma":[0.9988039,0.0001696049,0.0006634388,0.0002355241,0.0000827828,0.00004477411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001239632,0.0001837184,0.06905674,0.00000993176,0.001969855,0.00004051976,0.001113099,0.00164586,0.001146618,0.02046629,0.0002402673,0.9040031],"study_design_scores_gemma":[0.00486243,0.0002039181,0.3660226,0.0001903799,0.0009826322,0.001181475,0.03903191,0.3633242,0.0004984571,0.01130402,0.2116925,0.0007054362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8300318,0.0006984811,0.1653666,0.002498466,0.0003723995,0.0002360531,0.00001618399,0.00001973887,0.0007603117],"genre_scores_gemma":[0.9775712,0.0005000159,0.02156265,0.0002217221,0.00004721533,0.000009213712,0.000004558075,0.000004332911,0.00007902866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9032977,"threshold_uncertainty_score":0.4137651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811798581924258,"score_gpt":0.3016312710785656,"score_spread":0.283513285259323,"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."}}