{"id":"W4241645474","doi":"10.5539/enrr.v5n4p72","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 5, No. 4","year":2015,"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; Political science; Geography; 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":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.009632817,0.0003601068,0.0004165909,0.0004029075,0.002109047,0.0003329386,0.000697713,0.0002528024,0.000626859],"category_scores_gemma":[0.009094495,0.0002973206,0.0001117162,0.0003014754,0.002905757,0.000399193,0.001140046,0.001073721,0.001261271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923976,"about_ca_system_score_gemma":0.00007285072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653104,"about_ca_topic_score_gemma":0.0000630369,"domain_scores_codex":[0.992018,0.001344876,0.0004673004,0.001049869,0.003571199,0.001548764],"domain_scores_gemma":[0.9966516,0.001019594,0.0001060368,0.0004418074,0.0009610332,0.0008199022],"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":[0.0008881337,0.0004016785,0.03036697,0.0002124658,0.0002239037,0.00002252626,0.03291956,0.00001762299,0.0006010872,0.0005606216,0.8399932,0.09379221],"study_design_scores_gemma":[0.0009774234,0.0002821094,0.02623913,0.00009259524,0.00001600853,4.908734e-7,0.003683312,0.0001269759,0.0000688489,0.001238792,0.966906,0.0003682795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073991,0.07201604,0.00001492626,0.004070904,0.003027905,0.003603825,0.00001946521,0.00007023758,0.009777639],"genre_scores_gemma":[0.4657248,0.08216181,0.002378403,0.0003549411,0.008484986,0.000872882,0.0001052339,0.000134374,0.4397826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4416743,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08589181430121172,"score_gpt":0.3622762408381279,"score_spread":0.2763844265369162,"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."}}