{"id":"W4244105992","doi":"10.5539/eer.v7n1p64","title":"Reviewer Acknowledgements for Energy and Environment Research, Vol. 7, No. 1","year":2017,"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; Mathematics; Statistics","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":[0.05017541,0.002766116,0.005996165,0.00947187,0.005532239,0.009956981,0.00577176,0.01522708,0.07184346],"category_scores_gemma":[0.5366787,0.001647611,0.004485664,0.004591897,0.002911626,0.007391698,0.004569533,0.01192008,0.04077506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007077926,"about_ca_system_score_gemma":0.0153192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005491001,"about_ca_topic_score_gemma":0.008182277,"domain_scores_codex":[0.9384864,0.01299503,0.01277359,0.003858801,0.02948492,0.002401296],"domain_scores_gemma":[0.1898082,0.03402922,0.01429045,0.006497228,0.7475563,0.007818711],"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":[0.00002363956,0.000003589342,0.00009268572,0.0005901718,0.00001012419,0.00006288259,0.00007119323,0.000009621696,0.00003466502,0.000148148,0.9950199,0.003933392],"study_design_scores_gemma":[0.0001369724,0.00003194411,0.0008240353,0.004900772,0.00009645551,0.000878764,0.0006070388,0.0002043966,0.0002571585,0.001264834,0.9906747,0.0001229265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001378448,0.003700582,0.001028263,0.177422,0.8134294,0.0006128117,0.0007064127,0.0003589781,0.002603776],"genre_scores_gemma":[0.006201039,0.01160863,0.003558361,0.2320913,0.6859446,0.004242463,0.0017525,0.001303754,0.05329737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07184346,"threshold_uncertainty_score":0.2653561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120405182706798,"score_gpt":0.3709913971571173,"score_spread":0.2589508788864375,"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."}}