{"id":"W4415461287","doi":"10.1007/s10531-025-03191-x","title":"Valuing species-at-risk recovery: A discrete choice experiment on public willingness-to-pay for conservation in Québec, Canada","year":2025,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Ministère des Ressources naturelles et des Forêts; University of Victoria","funders":"","keywords":"Willingness to pay; Wildlife; Woodland; Population; Contingent valuation; Wildlife trade; Biodiversity; Status quo; Endangered species","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":[0.004953609,0.0006557835,0.001009454,0.0005178104,0.004785941,0.003049884,0.002275799,0.002195545,0.0105612],"category_scores_gemma":[0.0102185,0.000375154,0.000614058,0.0009904169,0.002903783,0.001385471,0.0008146068,0.002150015,0.0005997899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08414301,"about_ca_system_score_gemma":0.05450663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934939,"about_ca_topic_score_gemma":0.997001,"domain_scores_codex":[0.997404,0.001034847,0.00006596336,0.000356609,0.0004211531,0.0007173149],"domain_scores_gemma":[0.9883398,0.006239993,0.001104842,0.0006916997,0.001755089,0.001868707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0488135,0.05601969,0.4987043,0.0008411314,0.001670737,0.001520794,0.02062403,0.09049513,0.01576641,0.05762076,0.0724225,0.1355009],"study_design_scores_gemma":[0.00986206,0.007426205,0.7924007,0.0003811467,0.0006455661,0.00009122187,0.02539012,0.1240525,0.00298297,0.008700257,0.02745017,0.0006171454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893159,0.0001369075,0.000504215,0.001300629,0.00002658896,0.0002369197,0.0005001647,0.00001861768,0.007960204],"genre_scores_gemma":[0.9911281,0.00009926148,0.0006977304,0.0002617817,0.000008497733,0.0001387131,0.0002944004,0.000007314488,0.007364113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08414301,"threshold_uncertainty_score":0.6105031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.073247577350108,"score_gpt":0.203997077197591,"score_spread":0.130749499847483,"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."}}