{"id":"W4409359724","doi":"10.1139/facets-2024-0164","title":"What are Canadians willing to pay for bird habitat conservation? A contingent valuation approach","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Wildlife Habitat Canada; Environment and Climate Change Canada; Social Sciences and Humanities Research Council of Canada; Mitacs; Ducks Unlimited Canada","keywords":"Contingent valuation; Valuation (finance); Willingness to pay; Habitat; Economics; Natural resource economics; Geography; Microeconomics; Ecology; Finance; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005268101,0.0001086332,0.0002269843,0.0001625013,0.0001428829,0.0001270476,0.0001051367,0.00007166681,0.00004288019],"category_scores_gemma":[0.0001137012,0.0001230982,0.00006615614,0.0001160206,0.00001598269,0.0003127188,0.00002483759,0.00005224924,0.0002639917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383782,"about_ca_system_score_gemma":0.00002841683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069495,"about_ca_topic_score_gemma":0.002319664,"domain_scores_codex":[0.9990079,0.00001074289,0.0004009776,0.0003498512,0.00002283547,0.0002076501],"domain_scores_gemma":[0.9994945,0.00005116308,0.0001799136,0.0001865093,0.00002157659,0.00006635515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001418277,0.00006628026,0.9364159,0.00005991598,0.00007684156,1.356132e-7,0.001100499,0.009080552,0.00005122206,0.03879139,0.01179033,0.002552733],"study_design_scores_gemma":[0.001131546,0.00005429352,0.839007,0.00007062661,0.0000203708,4.566859e-7,0.001881069,0.05566427,0.0001502288,0.02160564,0.08006942,0.0003450249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7990662,0.0009265364,0.1799105,0.01456704,0.001416183,0.001491474,0.0001535973,0.0000613581,0.002406997],"genre_scores_gemma":[0.9877257,0.00008164875,0.00384158,0.003877023,0.00005371028,0.0003276354,0.00007814438,0.00002239184,0.003992151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1886594,"threshold_uncertainty_score":0.5019801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089080227053375,"score_gpt":0.2428992253826509,"score_spread":0.1339912026773133,"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."}}