{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.005455675,0.0002366791,0.0002828786,0.0001782546,0.005376198,0.0003264784,0.0006818978,0.0002155234,0.001995267],"category_scores_gemma":[0.003228433,0.0002156464,0.00007466067,0.00005894152,0.002929323,0.0003691442,0.001119631,0.0002352532,0.0003478094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874617,"about_ca_system_score_gemma":0.00007103787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007830773,"about_ca_topic_score_gemma":0.0003159481,"domain_scores_codex":[0.9953799,0.0006377957,0.0002989764,0.0008410643,0.001692887,0.001149339],"domain_scores_gemma":[0.9978577,0.0004077889,0.00009434159,0.0007124955,0.0004324573,0.0004952271],"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":[0.0001421837,0.0004090072,0.007478055,0.00008394997,0.0001398443,0.00001242805,0.001335397,0.0000180827,0.0003382157,0.02808105,0.7017118,0.26025],"study_design_scores_gemma":[0.0004968211,0.0001599235,0.01109641,0.00005694963,0.00000945175,1.508491e-7,0.0002878819,0.00006772079,0.0002122498,0.01120397,0.9761587,0.000249723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1437693,0.07706957,0.008306271,0.05838523,0.02137803,0.008705968,0.0001519639,0.0002911504,0.6819425],"genre_scores_gemma":[0.08541767,0.4183001,0.001376825,0.0002514081,0.004841773,0.001228991,0.0000577733,0.00007404863,0.4884514],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3412305,"threshold_uncertainty_score":0.9997841,"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."}}