{"id":"W4250973290","doi":"10.5539/eer.v8n1p91","title":"Reviewer Acknowledgements for Energy and Environment Research, Vol. 8, No. 1","year":2018,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Computer science; Engineering ethics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04872796,0.002745387,0.005756586,0.009716016,0.005558564,0.009533011,0.005667715,0.01450743,0.07315513],"category_scores_gemma":[0.5314158,0.001618909,0.004079515,0.004477906,0.002813092,0.007475729,0.004409925,0.01146843,0.03923836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006702854,"about_ca_system_score_gemma":0.01334294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937111,"about_ca_topic_score_gemma":0.007491528,"domain_scores_codex":[0.9415409,0.01239779,0.011944,0.003888713,0.02800416,0.002224427],"domain_scores_gemma":[0.1958319,0.0361069,0.01472783,0.006767474,0.7387021,0.007863873],"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":[0.00002469145,0.000003677683,0.00009045057,0.0005816092,0.00000944351,0.00006453369,0.00007696922,0.000009341514,0.00003833781,0.0001458083,0.9946908,0.004264307],"study_design_scores_gemma":[0.0001272792,0.0000312402,0.0008227386,0.004107656,0.00008575917,0.0008265268,0.000564747,0.0001910842,0.0002428746,0.001173804,0.9917132,0.000113226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000138981,0.003550202,0.001056673,0.1718971,0.819227,0.000567687,0.0006408266,0.000377389,0.002544085],"genre_scores_gemma":[0.006271199,0.01068226,0.003794148,0.2155462,0.7001422,0.004113029,0.001652054,0.00134919,0.05644967],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07315513,"threshold_uncertainty_score":0.2577012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09080598424968671,"score_gpt":0.3570032755926404,"score_spread":0.2661972913429537,"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."}}