{"id":"W1590481085","doi":"","title":"Willingness to Pay for Improvements in Air Quality","year":2001,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Air quality index; Work (physics); Consumption (sociology); Health care; Environmental health; Quality (philosophy); Health benefits; Public health; Ozone; Public economics; Medical care; Business; Economics; Medicine; Geography; Economic growth; Engineering; Meteorology","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":[0.004067642,0.00009015066,0.0002040569,0.00007468565,0.00004117338,0.00001018615,0.0001309475,0.0002783056,0.00009829627],"category_scores_gemma":[0.0004699917,0.0001005626,0.00006462668,0.0001357742,0.0000244797,0.0001106621,0.00001715065,0.0002417712,0.0002181345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756654,"about_ca_system_score_gemma":0.00001792312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001805252,"about_ca_topic_score_gemma":0.00004840758,"domain_scores_codex":[0.9989897,0.00006260521,0.0003909209,0.0002871351,0.00001414463,0.0002555211],"domain_scores_gemma":[0.9994479,0.0001751908,0.0001075506,0.0001820419,0.000005718198,0.00008155208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005816683,0.0001131345,0.9381775,0.00003191787,0.00002606974,8.483064e-7,0.001942228,0.0008605702,0.0004387958,0.03058383,0.0002882598,0.02747872],"study_design_scores_gemma":[0.00129833,0.00009609729,0.7979438,0.00001218965,0.000003976683,0.000001086778,0.0005072859,0.001776893,0.000839778,0.1528993,0.04426631,0.0003549115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214121,0.0001148347,0.06894387,0.0009747289,0.0001587004,0.0003697968,0.00003158165,0.00001519195,0.007979164],"genre_scores_gemma":[0.9807612,0.0001814878,0.01066263,0.001906569,0.00006269159,0.0001723334,0.00001964432,0.00002113506,0.006212289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402336,"threshold_uncertainty_score":0.459359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4284256228837439,"score_gpt":0.3629601499383556,"score_spread":0.06546547294538829,"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."}}