{"id":"W4254001230","doi":"10.5539/enrr.v9n1p91","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 9, No. 1","year":2019,"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 resource; Natural (archaeology); Engineering ethics; Environmental ethics; Political science; Library science; Geography; Computer science; Philosophy; Engineering; Archaeology; 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":[0.007010203,0.0003637175,0.0004393937,0.0004054125,0.002019791,0.0003100735,0.0007059496,0.0002590384,0.002412634],"category_scores_gemma":[0.004020574,0.0003012171,0.0001334547,0.00028262,0.002118877,0.0003858066,0.001091079,0.001141581,0.002875496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005951862,"about_ca_system_score_gemma":0.00004500245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180039,"about_ca_topic_score_gemma":0.00003887259,"domain_scores_codex":[0.9925792,0.001110874,0.0004601576,0.001154024,0.003120026,0.001575739],"domain_scores_gemma":[0.9969825,0.001309477,0.0001084832,0.0004969733,0.0006232057,0.0004793805],"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":[0.001490395,0.0007006209,0.1458477,0.0007942034,0.0005031719,0.00002432615,0.03815747,0.00003183927,0.00471061,0.001346201,0.6337829,0.1726105],"study_design_scores_gemma":[0.0008081062,0.0002510107,0.06930614,0.0001231396,0.00001320858,3.292392e-7,0.002079068,0.0001266092,0.00009380173,0.000619256,0.9262141,0.0003652615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534718,0.03242567,0.000004061411,0.001864996,0.00206825,0.003144976,0.00001268463,0.00004003631,0.006967546],"genre_scores_gemma":[0.4874444,0.06838647,0.0009449394,0.0002367935,0.003796889,0.0004784576,0.00006559901,0.00009053195,0.4385559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660274,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04792084623935524,"score_gpt":0.3412383592416236,"score_spread":0.2933175130022684,"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."}}