{"id":"W4248662919","doi":"10.5539/enrr.v8n2p154","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 8, No. 2","year":2018,"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; Library science; Political science; Environmental planning; Geography; Computer science; Engineering; Philosophy; 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":["sts","insufficient_payload"],"category_scores_codex":[0.007413413,0.0003620675,0.0003946111,0.0004144186,0.003641138,0.0003302747,0.0007238573,0.0002565568,0.001864263],"category_scores_gemma":[0.006552561,0.0002990469,0.0001169746,0.0003210357,0.005229997,0.0003612474,0.001144776,0.0009823004,0.001868305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000567136,"about_ca_system_score_gemma":0.00004650446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340364,"about_ca_topic_score_gemma":0.00009486213,"domain_scores_codex":[0.9926065,0.001167277,0.0004662188,0.001133083,0.002983382,0.001643494],"domain_scores_gemma":[0.9967983,0.001088905,0.0001071509,0.0004699368,0.0009982298,0.0005375275],"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":[0.0009883611,0.0004257488,0.02916397,0.0002668206,0.0002943312,0.00001607042,0.03318043,0.000002991811,0.002169321,0.0007237183,0.7675743,0.165194],"study_design_scores_gemma":[0.0006780304,0.0003666627,0.05022145,0.0001091484,0.00001569044,3.897044e-7,0.001861973,0.0001032061,0.0001883085,0.0009166974,0.9451783,0.0003601269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451684,0.03563611,0.00001563334,0.00304971,0.002959745,0.003170219,0.00001791253,0.00006286815,0.009919415],"genre_scores_gemma":[0.5455872,0.07390939,0.001961453,0.0003651463,0.01288907,0.0006279299,0.00006399651,0.0001128689,0.3644829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3995812,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05829923483997317,"score_gpt":0.3563961263968979,"score_spread":0.2980968915569248,"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."}}