{"id":"W1977201567","doi":"10.5539/ijef.v6n11p221","title":"Measuring the Economic Impact of Water Quality Initiatives: A Case Study of the Fund for Lake Michigan","year":2014,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trust fund; Economic impact analysis; Government (linguistics); Business; County government; Quality (philosophy); Economics; Finance; Economic growth; Agricultural economics; Natural resource economics; Political science; Public administration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269226,0.0003221772,0.0002103188,0.00197906,0.002471773,0.001896826,0.0007579672,0.000975173,0.001484054],"category_scores_gemma":[0.006622567,0.0002060691,0.0004545178,0.004212088,0.00124758,0.001747519,0.001997299,0.001135272,0.00007635975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008038216,"about_ca_system_score_gemma":0.003197665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1373388,"about_ca_topic_score_gemma":0.320309,"domain_scores_codex":[0.9976126,0.001280087,0.00006045253,0.0001097596,0.0005193609,0.0004177534],"domain_scores_gemma":[0.99568,0.001965464,0.0008291964,0.000148901,0.0008429021,0.000533631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006051299,0.003106101,0.7872092,0.000425975,0.0005227074,0.01455116,0.04155733,0.02399275,0.005278989,0.0188878,0.009218141,0.09464467],"study_design_scores_gemma":[0.00006487878,0.001507566,0.8409402,0.0002394131,0.0001939266,0.001133504,0.1046171,0.01934792,0.003400963,0.002298333,0.02615639,0.00009984848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933071,0.00009776105,0.0004449464,0.0005829551,0.000004518119,0.00006855075,0.0001392562,0.000007794707,0.005347215],"genre_scores_gemma":[0.9968335,0.0002716849,0.001273479,0.00008590176,0.000008948574,0.00005818293,0.0001395353,0.000006245401,0.0013226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1373388,"threshold_uncertainty_score":0.2730789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.166077180493979,"score_gpt":0.2955172215746029,"score_spread":0.1294400410806238,"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."}}