{"id":"W2284596777","doi":"","title":"Contrasting Mid-West United States Wetlands Policy with Western Canadian Watershed Governance","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Corporate governance; Watershed management; Clean Water Act; Subsidy; Incentive; Wetland; Business; Environmental planning; Environmental resource management; Geography; Political science; Economics; Finance; Ecology; Water quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004347115,0.0001679069,0.0001134278,0.00007977139,0.0002578622,0.00004469776,0.0002826441,0.00003697387,0.000825572],"category_scores_gemma":[0.00001085449,0.0001328661,0.00003256473,0.0002546556,0.000117003,0.0002722594,0.00005643818,0.0005184268,0.0002284491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286012,"about_ca_system_score_gemma":0.000242299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2885118,"about_ca_topic_score_gemma":0.7375298,"domain_scores_codex":[0.9976122,0.00004815448,0.0001940738,0.0002029332,0.0002532435,0.001689418],"domain_scores_gemma":[0.9994614,0.000009916556,0.0001303975,0.0001466302,0.000006519187,0.0002451538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001556272,0.0001185606,0.9768401,0.000006329519,0.0001822474,0.0000668302,0.002432155,0.0006955347,0.0003520502,0.009899979,0.0007284067,0.008522115],"study_design_scores_gemma":[0.002696228,0.0009453146,0.8474444,0.0000478495,0.0000783146,0.0004947719,0.005171875,0.0004045624,0.0006850477,0.009063984,0.1321844,0.0007832556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835075,0.00004830087,0.001118272,0.004560738,0.00004487555,0.0001701491,0.000006797205,0.00002993631,0.01051344],"genre_scores_gemma":[0.9913583,0.00073851,0.0001269239,0.003072801,0.00004141586,0.000006109864,0.00002206882,0.0000233785,0.004610437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.449018,"threshold_uncertainty_score":0.9039435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008683407559726694,"score_gpt":0.188301225665951,"score_spread":0.1796178181062243,"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."}}