{"id":"W4367852870","doi":"10.1017/age.2023.10","title":"Residential mobility and the value of water quality improvements in the Milwaukee Estuary Area of Concern","year":2023,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Redevelopment; Environmental remediation; Environmental science; Wildlife; Water quality; Pollutant; Environmental planning; Environmental protection; Geography; Business; Ecology; Civil engineering; Engineering; Contamination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008255395,0.0001162725,0.0001566459,0.0008462536,0.0003512186,0.0005987561,0.0004427385,0.0003776995,0.001942802],"category_scores_gemma":[0.002572824,0.00007913102,0.0003708728,0.001722329,0.0004429872,0.000412327,0.0006226102,0.0004887417,0.00007007308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010885,"about_ca_system_score_gemma":0.001131476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1158743,"about_ca_topic_score_gemma":0.2323574,"domain_scores_codex":[0.9995735,0.0002426313,0.00001449335,0.00002767489,0.00005610275,0.00008547741],"domain_scores_gemma":[0.9989182,0.0003402059,0.0004057697,0.0000319294,0.0001871131,0.0001168125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461685,0.0005403913,0.8554555,0.0004020761,0.000705639,0.0002273916,0.00128217,0.01031621,0.0004865634,0.02080638,0.004596664,0.1050348],"study_design_scores_gemma":[0.00001882435,0.0001837689,0.9738374,0.0003710716,0.0002134599,0.00007538281,0.00424533,0.005522735,0.0002156738,0.002798412,0.01249914,0.00001878072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854748,0.005852422,0.0002838723,0.002999173,0.00002626503,0.00001036317,0.0002325297,0.000003074911,0.005117492],"genre_scores_gemma":[0.9950054,0.003944007,0.0001557988,0.00009668518,0.00002142128,0.000006100432,0.00008366368,7.528672e-7,0.0006860477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158743,"threshold_uncertainty_score":0.2303997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926639569065836,"score_gpt":0.3058356462889228,"score_spread":0.2665692505982645,"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."}}