{"id":"W4250506037","doi":"10.5539/eer.v6n1p57","title":"Reviewer Acknowledgements for Energy and Environment Research, Vol. 6, No. 1","year":2016,"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; Physics; Engineering","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":[0.05270004,0.002812419,0.006052327,0.009979517,0.005654616,0.01002123,0.00576371,0.01483768,0.07226231],"category_scores_gemma":[0.5425578,0.001694778,0.00449297,0.00480615,0.002859672,0.007397144,0.004433376,0.01159753,0.03907416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006876379,"about_ca_system_score_gemma":0.01425097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355058,"about_ca_topic_score_gemma":0.008010595,"domain_scores_codex":[0.9365103,0.01385288,0.01349139,0.003988307,0.02988744,0.002269699],"domain_scores_gemma":[0.1894997,0.03631856,0.01593963,0.007042171,0.7431067,0.00809313],"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":[0.00002595053,0.000004036287,0.0001015862,0.0006631416,0.00001089947,0.00006589147,0.00008067666,0.00001035459,0.00003887059,0.0001532348,0.9943663,0.004478883],"study_design_scores_gemma":[0.0001349712,0.00003366026,0.0008678228,0.004776204,0.00009865499,0.0008246137,0.0005787731,0.0002083461,0.0002475007,0.001215124,0.9908931,0.0001211756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000141738,0.003922321,0.00109372,0.1723774,0.8181794,0.0006364668,0.0007000571,0.0003721785,0.002576865],"genre_scores_gemma":[0.006427144,0.01191081,0.004116251,0.2182653,0.6967249,0.004272006,0.001731474,0.001338565,0.05521355],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07226231,"threshold_uncertainty_score":0.2787077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08392132776268835,"score_gpt":0.3440675022171993,"score_spread":0.2601461744545109,"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."}}