{"id":"W4245723030","doi":"10.5539/enrr.v7n3p105","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 7, No. 3","year":2017,"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 (archaeology); Natural resource; Engineering ethics; Environmental ethics; Political science; Geography; Engineering; Archaeology; Philosophy; 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","insufficient_payload"],"category_scores_codex":[0.007792648,0.0003637471,0.0004252765,0.000315008,0.007504818,0.0007862243,0.001198151,0.000259402,0.00100487],"category_scores_gemma":[0.01095604,0.0003016544,0.0001344938,0.0001128129,0.004607613,0.0005502621,0.001733428,0.001125512,0.0010119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051551,"about_ca_system_score_gemma":0.00004416983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319112,"about_ca_topic_score_gemma":0.0001022068,"domain_scores_codex":[0.9930146,0.0009105878,0.0004363615,0.001116075,0.002953137,0.001569226],"domain_scores_gemma":[0.9968465,0.0009575931,0.0001773768,0.0007938112,0.0006835604,0.0005411353],"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":[0.001063724,0.0005339684,0.09545483,0.0004498882,0.0004102864,0.00003989435,0.02617707,0.000007824327,0.001911689,0.001050206,0.600855,0.2720456],"study_design_scores_gemma":[0.0007168278,0.0001626914,0.1453113,0.0001171467,0.00001504417,3.031954e-7,0.001171253,0.00008037536,0.00008912316,0.0009114558,0.8510953,0.0003291397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392198,0.03787421,0.000008248092,0.005208234,0.002946403,0.003283168,0.00002163435,0.00004776136,0.01139051],"genre_scores_gemma":[0.5561576,0.09360374,0.001089199,0.0001617291,0.005877979,0.0005509012,0.00004289939,0.00008471285,0.3424312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830622,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07184155216789896,"score_gpt":0.3689234376582991,"score_spread":0.2970818854904002,"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."}}