{"id":"W1854952045","doi":"10.1002/wrcr.20447","title":"Assessing the extent of altruism in the valuation of community drinking water quality improvements","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Alberta; University of Saskatchewan","funders":"","keywords":"Altruism (biology); Valuation (finance); Water quality; Natural resource economics; Environmental science; Contingent valuation; Quality (philosophy); Environmental economics; Economics; Actuarial science; Environmental planning; Microeconomics; Willingness to pay; Social psychology; Psychology; Ecology; Finance; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00634286,0.0002153223,0.0001839117,0.000614544,0.000735242,0.0009533751,0.00036845,0.0005114814,0.001896426],"category_scores_gemma":[0.01928121,0.0001219714,0.0002256535,0.0008300127,0.001580152,0.0006459256,0.0006919364,0.0006209479,0.0001012693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003029161,"about_ca_system_score_gemma":0.001618547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0541866,"about_ca_topic_score_gemma":0.1022224,"domain_scores_codex":[0.9982904,0.001104,0.00005685038,0.0001082081,0.0002749935,0.0001654749],"domain_scores_gemma":[0.9777066,0.01264785,0.005928311,0.001050368,0.00178457,0.0008824232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008591551,0.0004716642,0.9299785,0.0001544962,0.0002484279,0.0002488587,0.002871004,0.01219911,0.002822539,0.01704107,0.0007116706,0.03239345],"study_design_scores_gemma":[0.00004358089,0.0002300841,0.9621236,0.0000456124,0.0001000992,0.0001143495,0.00218473,0.01750188,0.001092101,0.01505533,0.001473441,0.00003525692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910721,0.000109124,0.002173253,0.0002122936,0.000002649243,0.0000347683,0.00005867501,0.000003004079,0.006334216],"genre_scores_gemma":[0.9993929,0.00002365138,0.000334895,0.00001098047,0.000001515756,0.00000478447,0.00002052382,3.60218e-7,0.0002103972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0541866,"threshold_uncertainty_score":0.1077424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4060810466663864,"score_gpt":0.377297613789935,"score_spread":0.02878343287645141,"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."}}