{"id":"W4247335712","doi":"10.5539/enrr.v8n4p75","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 8, No. 4","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 (archaeology); Natural resource; Engineering ethics; Environmental chemistry; Political science; Chemistry; 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.007443978,0.0003621309,0.0003946383,0.0004146509,0.003642023,0.0003303782,0.0007241997,0.0002565557,0.001833834],"category_scores_gemma":[0.006541634,0.0002991026,0.0001169918,0.0003210982,0.005230986,0.0003613087,0.001144611,0.0009822953,0.001869424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670597,"about_ca_system_score_gemma":0.00004654488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333087,"about_ca_topic_score_gemma":0.00009520484,"domain_scores_codex":[0.9926054,0.001166642,0.0004663386,0.001133413,0.002984209,0.001643966],"domain_scores_gemma":[0.996798,0.001094483,0.0001070681,0.0004702455,0.0009926519,0.0005375638],"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":[0.001021846,0.0004334614,0.03044686,0.000271604,0.0002994111,0.00001622542,0.03377837,0.000003005066,0.0022431,0.0007431695,0.7641689,0.1665741],"study_design_scores_gemma":[0.0006784668,0.0003701646,0.05065664,0.00010997,0.00001568998,3.887705e-7,0.001870439,0.0001039189,0.0001889484,0.0009187128,0.9447265,0.0003602023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456309,0.0353672,0.00001596998,0.003038319,0.002940622,0.003167487,0.00001782912,0.00006271084,0.009758933],"genre_scores_gemma":[0.5553504,0.0725228,0.00195599,0.0003612601,0.01262993,0.0006213301,0.00006236425,0.0001117326,0.3563842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3902805,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05964866591897888,"score_gpt":0.3570032638181392,"score_spread":0.2973545978991603,"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."}}