{"id":"W2093766211","doi":"10.1016/j.geoforum.2003.09.007","title":"Closing the groundwater protection implementation gap","year":2004,"lang":"en","type":"article","venue":"Geoforum","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ministerio de Agricultura, Alimentación y Medio Ambiente; U.S. Environmental Protection Agency","keywords":"Local government; Environmental planning; Business; Government (linguistics); Staffing; Closing (real estate); Environmental resource management; Political science; Public administration; Geography; Finance; Environmental science","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":[0.0004837284,0.00003996363,0.00003243938,0.00001047039,0.001299665,0.0001071355,0.00009439955,0.00002436516,0.00009753726],"category_scores_gemma":[0.000007138099,0.00002640389,0.00002855814,0.00008827835,0.0000607148,0.0001604069,0.00004116726,0.00005260581,0.00007221213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009266061,"about_ca_system_score_gemma":0.0000278462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03581749,"about_ca_topic_score_gemma":0.01600401,"domain_scores_codex":[0.9991664,0.0000358647,0.00007362992,0.00008431049,0.0001885433,0.0004512921],"domain_scores_gemma":[0.9998412,0.000004256501,0.00004557851,0.00006943526,0.00001717446,0.00002234949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000726878,0.000162467,0.01956398,0.00003345035,0.0000641021,0.00001186867,0.2161571,0.0008343554,0.004007855,0.5096934,0.006813603,0.2425852],"study_design_scores_gemma":[0.0003896276,0.00006223932,0.01633035,0.00001419318,0.000007530838,0.000002222586,0.01493506,0.000005242773,0.002643995,0.02954443,0.9359497,0.0001154317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518121,0.00004529705,0.004074644,0.03419891,0.0003049265,0.0004500505,0.000002004723,0.00005842181,0.009053669],"genre_scores_gemma":[0.9978536,0.00001160121,0.00005226978,0.0003796318,0.0002423896,0.00002441255,0.000001626065,0.000004193013,0.001430256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291361,"threshold_uncertainty_score":0.9996102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931734727028952,"score_gpt":0.3139585879909151,"score_spread":0.2746412407206256,"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."}}