{"id":"W4393924800","doi":"10.1016/j.envdev.2024.100983","title":"A practical and pragmatic way to assess deeper motivations for ecosystems preservation in developing country – The case of banc d’Arguin National Park (Mauritania)","year":2024,"lang":"en","type":"article","venue":"Environmental Development","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"Fonds Français pour l'Environnement Mondial; Agence Française de Développement","keywords":"Willingness to pay; National park; Biodiversity; Contingent valuation; Geography; Ecosystem services; Valuation (finance); Environmental resource management; Fishing; Value (mathematics); Population; Total economic value; Ecosystem; Socioeconomics; Business; Fishery; Ecology; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093064,0.000123775,0.0001785759,0.000128077,0.0001167142,0.00005688978,0.00006830336,0.00005886758,0.0001232286],"category_scores_gemma":[0.00008979229,0.0001225597,0.00002595983,0.0001011872,0.00003453968,0.0003846946,0.00007351842,0.00007511185,0.0000788409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007809651,"about_ca_system_score_gemma":0.00004977783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000367407,"about_ca_topic_score_gemma":0.0002040833,"domain_scores_codex":[0.9987878,0.00002410161,0.0006441131,0.0003194574,0.00006190305,0.0001626866],"domain_scores_gemma":[0.9994701,0.0002635993,0.0001237688,0.00009764,0.000003945938,0.00004098134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002872075,0.0002841889,0.4000933,0.00044928,0.0002191372,0.00002271846,0.006103661,0.001560057,0.0004727533,0.5866501,0.002068707,0.002047416],"study_design_scores_gemma":[0.000584158,0.00004622671,0.9256508,0.0001292155,0.0000106363,0.0001039364,0.001117843,0.02397663,0.000530257,0.01265583,0.03482937,0.000365129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962375,0.0003218712,0.03414078,0.001456914,0.0001713439,0.0008569647,0.000154451,0.00001043377,0.0005122192],"genre_scores_gemma":[0.974663,0.00005870173,0.02428235,0.0001636877,0.00002996032,0.0004490896,0.0001209067,0.00001958991,0.0002127687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5739943,"threshold_uncertainty_score":0.4997839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152844627297764,"score_gpt":0.27324573626685,"score_spread":0.1579612735370736,"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."}}