{"id":"W3132065848","doi":"10.1111/cobi.13720","title":"Valuing high‐seas ecosystem conservation","year":2021,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Willingness to pay; Ecosystem services; Willingness to accept; Business; Ecosystem; Environmental resource management; Contingent valuation; Natural resource economics; Public economics; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00046717,0.0001151688,0.0002722221,0.00008251044,0.0001129611,0.00003568121,0.00009613593,0.0001496191,0.001690454],"category_scores_gemma":[0.0001812126,0.0001484957,0.00006634038,0.0001348626,0.00004543697,0.0002026765,0.00005034414,0.00007983087,0.001669927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618426,"about_ca_system_score_gemma":0.00003664043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002858237,"about_ca_topic_score_gemma":0.0001647539,"domain_scores_codex":[0.998749,0.00005635891,0.0005902889,0.0003988566,0.00001640906,0.000189149],"domain_scores_gemma":[0.9992343,0.00009623075,0.0003167118,0.0002634086,0.00004127187,0.00004803865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003502665,0.00002294648,0.6274998,0.00001057507,0.00002585556,0.000001100853,0.00004406794,0.00003829242,0.000934832,0.3697588,0.001382473,0.0002777858],"study_design_scores_gemma":[0.0008381795,0.00004378755,0.810917,0.00001327365,0.000008856081,0.00001310089,0.0001043652,0.005750868,0.001378527,0.07453627,0.1061105,0.0002852216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760579,0.0007228653,0.009264038,0.007361004,0.0007868272,0.0001353491,0.0001269979,0.00005066017,0.005494313],"genre_scores_gemma":[0.9927256,0.0001510581,0.001435871,0.003808282,0.0001132372,0.00003549669,0.0005778633,0.00001549575,0.001137111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952225,"threshold_uncertainty_score":0.9992222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264626044501015,"score_gpt":0.2251176356134215,"score_spread":0.09865503116332006,"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."}}