{"id":"W4251700742","doi":"10.5539/enrr.v9n3p135","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 9, No. 3","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); Library science; Engineering ethics; Political science; Environmental ethics; Computer science; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02551987,0.00215884,0.00427113,0.00684723,0.004670686,0.008437673,0.004837757,0.01375174,0.1092376],"category_scores_gemma":[0.3275505,0.001180152,0.003599346,0.003399454,0.002071019,0.005468647,0.003324827,0.009252972,0.05977383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004925076,"about_ca_system_score_gemma":0.009878339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005350009,"about_ca_topic_score_gemma":0.008591608,"domain_scores_codex":[0.9707409,0.005683228,0.005731032,0.001840585,0.01462886,0.001375381],"domain_scores_gemma":[0.3650796,0.02407284,0.009975975,0.005070774,0.587632,0.008168773],"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":[0.00001403915,0.000002188743,0.00004741205,0.0002221835,0.000004655375,0.00004566954,0.00002033423,0.000005144103,0.00001821033,0.00009102589,0.9970162,0.002512928],"study_design_scores_gemma":[0.00008240398,0.00002141628,0.000526608,0.001996826,0.00004852136,0.00075504,0.0002339316,0.0001409589,0.0001547913,0.0008678883,0.9950945,0.00007709987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001002345,0.00241869,0.0008462369,0.1592695,0.8312695,0.0004523808,0.0006855589,0.0003632539,0.004594715],"genre_scores_gemma":[0.004726938,0.008882052,0.002567593,0.2182181,0.6775931,0.00223564,0.001791838,0.0010067,0.08297797],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1092376,"threshold_uncertainty_score":0.3654361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04711390375313079,"score_gpt":0.3407703959020428,"score_spread":0.293656492148912,"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."}}