{"id":"W4250150164","doi":"10.5539/enrr.v10n2p54","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 10, No. 2","year":2020,"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; Natural science; Engineering ethics; Environmental ethics; Political science; Geography; Computer science; Philosophy; Engineering; Epistemology; 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":[0.004870645,0.0003715526,0.0004393711,0.0002580917,0.002501603,0.0003260025,0.0007425313,0.0002380458,0.002614753],"category_scores_gemma":[0.006958614,0.0003126155,0.0001359416,0.0003365848,0.002583488,0.0003504463,0.001202039,0.001117495,0.001980867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312418,"about_ca_system_score_gemma":0.00004594821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006727241,"about_ca_topic_score_gemma":0.00002235381,"domain_scores_codex":[0.9926642,0.001157212,0.0004830316,0.001178575,0.003043998,0.001473035],"domain_scores_gemma":[0.997162,0.001101438,0.0001070482,0.000347458,0.0005142355,0.0007678196],"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":[0.001184997,0.0002963397,0.01356677,0.0004235572,0.0002748266,0.00002741561,0.03585145,0.00001695171,0.002145684,0.0004542531,0.8390852,0.1066725],"study_design_scores_gemma":[0.0007888582,0.0003291079,0.0183761,0.00008100009,0.00001783626,2.715443e-7,0.002277299,0.000234897,0.0001118477,0.0003492079,0.977057,0.000376613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795884,0.08186922,0.00002265888,0.01934758,0.001803663,0.005265127,0.0000392067,0.0001149649,0.01194915],"genre_scores_gemma":[0.4793856,0.113837,0.001956961,0.00102888,0.009122406,0.0007983344,0.0001291693,0.0001551455,0.3935865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4002028,"threshold_uncertainty_score":0.9999326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07074501675591419,"score_gpt":0.3466862062619229,"score_spread":0.2759411895060087,"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."}}