{"id":"W4233052356","doi":"10.5539/enrr.v9n4p76","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 9, No. 4","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 (archaeology); Natural resource; Environmental chemistry; Engineering ethics; 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":["insufficient_payload"],"category_scores_codex":[0.007011958,0.000363699,0.0004395005,0.0004054509,0.002020388,0.000310649,0.0007060042,0.0002590383,0.002341461],"category_scores_gemma":[0.003979475,0.0003012031,0.000133456,0.0002825188,0.002119258,0.0003860601,0.001090812,0.001141389,0.002855415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952272,"about_ca_system_score_gemma":0.00004489892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118203,"about_ca_topic_score_gemma":0.00003917708,"domain_scores_codex":[0.9925797,0.001110005,0.000460424,0.001153749,0.003120347,0.001575784],"domain_scores_gemma":[0.9969939,0.001302922,0.0001085054,0.0004966125,0.000618732,0.000479355],"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":[0.001538415,0.0007147725,0.1491682,0.000815499,0.000513026,0.00002509398,0.03895698,0.00003216267,0.00476115,0.001402824,0.6242571,0.1778147],"study_design_scores_gemma":[0.0008137872,0.0002538223,0.06924862,0.0001231623,0.00001319412,3.294664e-7,0.002076504,0.0001270692,0.00009384577,0.00062507,0.9262592,0.000365345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532919,0.03260484,0.000004093733,0.001855023,0.00206764,0.003144765,0.00001245057,0.00004001162,0.006979261],"genre_scores_gemma":[0.4936936,0.0686351,0.0009319063,0.0002353834,0.00377712,0.0004691513,0.00006442003,0.00008995212,0.4321034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4595983,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745907458899325,"score_gpt":0.3412160535674575,"score_spread":0.2937569789784643,"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."}}