{"id":"W1694982257","doi":"10.1111/j.1539-6924.2012.01822.x","title":"Using Expert Judgments to Explore Robust Alternatives for Forest Management under Climate Change","year":2012,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University","keywords":"Climate change; Environmental resource management; Forest management; Environmental science; Agroforestry; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04758236,0.001488972,0.001002235,0.004406127,0.001794718,0.005279393,0.00192909,0.001624921,0.005001378],"category_scores_gemma":[0.1634638,0.0006145624,0.001657349,0.002511209,0.002283538,0.004854588,0.003541327,0.002170387,0.000518532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465354,"about_ca_system_score_gemma":0.002850053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224715,"about_ca_topic_score_gemma":0.006084615,"domain_scores_codex":[0.9434485,0.04297096,0.002606504,0.002385349,0.007482048,0.001106653],"domain_scores_gemma":[0.8394301,0.1385578,0.007224003,0.004630081,0.008714156,0.001443882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002951904,0.001334616,0.03250194,0.002676931,0.0008682153,0.001623476,0.05068946,0.2764536,0.01831141,0.1857247,0.006428143,0.4204358],"study_design_scores_gemma":[0.0003453036,0.001486497,0.01760841,0.0008593566,0.000226176,0.0004077442,0.02099312,0.5732092,0.008205577,0.3595957,0.01641468,0.0006482119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.355872,0.0004292067,0.6145049,0.001334225,0.00008447418,0.001458849,0.0004122906,0.0002634676,0.02564066],"genre_scores_gemma":[0.7174246,0.0001879379,0.2806892,0.0001719427,0.00003423396,0.0006306881,0.0002604815,0.00003797371,0.0005630555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04758236,"threshold_uncertainty_score":0.2516426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4725417151187083,"score_gpt":0.3209542090085824,"score_spread":0.1515875061101259,"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."}}