{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00700794,0.0003636808,0.0004394259,0.0004053154,0.002019667,0.0003105302,0.0007056311,0.0002590226,0.002369985],"category_scores_gemma":[0.004019802,0.000301162,0.0001334486,0.0002825447,0.002118985,0.0003860195,0.001090513,0.001141414,0.002897958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005968786,"about_ca_system_score_gemma":0.0000450203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189633,"about_ca_topic_score_gemma":0.00003906193,"domain_scores_codex":[0.9925798,0.00111011,0.0004603057,0.001153666,0.003120489,0.001575656],"domain_scores_gemma":[0.9969874,0.001301153,0.0001084948,0.0004964355,0.0006271388,0.0004793482],"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":[0.001520645,0.0007115335,0.1483134,0.0008167039,0.0005108799,0.00002492701,0.03876659,0.00003235363,0.004794206,0.001361495,0.6259751,0.1771722],"study_design_scores_gemma":[0.0008160659,0.0002507433,0.06902456,0.0001229445,0.00001312246,3.270108e-7,0.002071873,0.0001267462,0.00009525221,0.0006205154,0.9264926,0.0003652678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533873,0.03249432,0.000004071812,0.001855908,0.002079267,0.003140207,0.00001252348,0.0000399395,0.006986437],"genre_scores_gemma":[0.4862955,0.06849865,0.0009293268,0.0002347304,0.003796921,0.00046819,0.00006426476,0.00008978867,0.4396227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670919,"threshold_uncertainty_score":0.999944,"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."}}