{"id":"W4296657798","doi":"10.1007/s43545-022-00511-8","title":"Examining ecosystem services and disservices through deliberative socio-cultural valuation","year":2022,"lang":"en","type":"article","venue":"SN Social Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Ecosystem services; Valuation (finance); Ecosystem valuation; Environmental resource management; Contingent valuation; Business; Environmental economics; Ecosystem; Environmental planning; Economics; Geography; Willingness to pay; Ecology; Ecosystem health; Microeconomics; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05783148,0.000974086,0.0004453394,0.003400086,0.004753525,0.006804341,0.001466615,0.001271047,0.002929548],"category_scores_gemma":[0.06785375,0.0003848249,0.0007458398,0.002191404,0.01420637,0.007153879,0.009052509,0.002024881,0.0002299167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006145826,"about_ca_system_score_gemma":0.004435776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289233,"about_ca_topic_score_gemma":0.004238925,"domain_scores_codex":[0.9357337,0.05756633,0.0008541604,0.001158592,0.003072909,0.001614204],"domain_scores_gemma":[0.8781121,0.09902403,0.01060399,0.005249415,0.005301423,0.001708997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000509558,0.001005273,0.0766148,0.001403175,0.0002554836,0.0008801057,0.6706653,0.004779444,0.002487176,0.08799693,0.001266485,0.1521364],"study_design_scores_gemma":[0.000102019,0.0005901577,0.04237012,0.001051034,0.0001072882,0.000289614,0.7989835,0.007622085,0.004229426,0.1191863,0.02533483,0.0001336242],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311916,0.0003044237,0.02757013,0.002105555,0.00004678245,0.0007294674,0.00007020935,0.00002452248,0.03795743],"genre_scores_gemma":[0.9891979,0.0001698401,0.008942915,0.0001976039,0.00001235185,0.0005034294,0.00002897547,0.00001078384,0.0009360804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05783148,"threshold_uncertainty_score":0.3058457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053085067301284,"score_gpt":0.287985244812011,"score_spread":0.2374543941389982,"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."}}