{"id":"W2003963932","doi":"10.1007/s00267-001-0026-7","title":"Local Capacity for Groundwater Protection in Ontario","year":2002,"lang":"en","type":"article","venue":"Environmental Management","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Local government; Groundwater; Population; Environmental planning; Politics; Government (linguistics); Business; Environmental resource management; Geography; Public administration; Political science; Environmental science; Engineering; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001266296,0.00005236092,0.00005880384,0.00002855134,0.0001821314,0.00001279209,0.00006256975,0.00003079596,0.003059934],"category_scores_gemma":[8.121203e-7,0.00005461291,0.00003578178,0.00001181739,0.0001436495,0.00009518596,0.00001904125,0.00005184089,0.0003603675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249387,"about_ca_system_score_gemma":0.000001665698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03566312,"about_ca_topic_score_gemma":0.1122562,"domain_scores_codex":[0.9994512,0.00001855294,0.00009319696,0.0001398603,0.00007220374,0.0002249657],"domain_scores_gemma":[0.9998703,0.000004747067,0.00001400625,0.00005497176,3.48753e-7,0.00005564852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001534737,0.003862315,0.02103327,0.0001223837,0.0001567721,0.00004848279,0.06861765,0.0005315824,0.0001400944,0.2058508,0.01226095,0.6872222],"study_design_scores_gemma":[0.0003117729,0.00004242322,0.0187493,0.000003734045,0.00000519627,1.928793e-7,0.0008359511,0.0001536221,0.00001252059,0.002885761,0.9769066,0.00009292056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872772,0.00002030894,0.003062457,0.0007444712,0.0002996644,0.0006943239,0.000002131235,0.00002196299,0.2078775],"genre_scores_gemma":[0.9482501,0.00001103051,0.0002316895,0.0001687867,0.0000332711,0.0001012757,0.000001588518,0.000003375848,0.05119894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9646457,"threshold_uncertainty_score":0.9978514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412116893367661,"score_gpt":0.1960717451538914,"score_spread":0.1548600558171253,"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."}}