{"id":"W4252228280","doi":"10.5539/enrr.v10n3p69","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 10, No. 3","year":2020,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Engineering ethics; Natural resource; Environmental planning; Environmental ethics; Political science; Environmental science; Geography; Engineering; Archaeology; Philosophy; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004887952,0.0003715991,0.0004393269,0.00025815,0.00250132,0.0003259799,0.0007424902,0.0002380303,0.002603444],"category_scores_gemma":[0.007017143,0.000312631,0.000135954,0.0003366813,0.002583645,0.000350469,0.001201536,0.001117514,0.002011579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323791,"about_ca_system_score_gemma":0.00004611231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006733748,"about_ca_topic_score_gemma":0.00002236862,"domain_scores_codex":[0.9926631,0.001156691,0.0004830315,0.001178834,0.003044978,0.001473338],"domain_scores_gemma":[0.9971537,0.001105583,0.0001069562,0.0003475656,0.0005183103,0.0007678681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001210568,0.0003002384,0.0140778,0.0004316377,0.0002783055,0.00002748676,0.0363069,0.00001712211,0.00223324,0.0004525719,0.837533,0.1071311],"study_design_scores_gemma":[0.0007917242,0.0003282844,0.01848117,0.00008148057,0.00001774235,2.689283e-7,0.002282977,0.0002359618,0.0001139294,0.0003474931,0.9769423,0.0003766839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880962,0.08082659,0.00002297869,0.01924783,0.001798662,0.005242979,0.00003917791,0.0001142532,0.01174553],"genre_scores_gemma":[0.4820248,0.1116952,0.001949773,0.001017023,0.009002567,0.0007898133,0.0001258104,0.0001535938,0.3932414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3989372,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07184717549115172,"score_gpt":0.3468370236185248,"score_spread":0.2749898481273731,"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."}}