{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004940714,0.0002337747,0.0002619013,0.0002273986,0.001634893,0.00008939927,0.0003781533,0.0002042301,0.003516471],"category_scores_gemma":[0.002227085,0.000171367,0.00007072728,0.0001330997,0.002142383,0.0002723272,0.0006556775,0.0001474437,0.0005384238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366157,"about_ca_system_score_gemma":0.0000707533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002520953,"about_ca_topic_score_gemma":0.0001445369,"domain_scores_codex":[0.9950764,0.0008648753,0.0003232,0.000844657,0.001698125,0.001192734],"domain_scores_gemma":[0.997805,0.0008149658,0.00005511895,0.0003963096,0.0004269154,0.0005017126],"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":[0.0001230595,0.0002965717,0.003119964,0.00004544612,0.00009642072,0.000006124948,0.000745288,0.000005112598,0.001120453,0.02386425,0.6240171,0.3465602],"study_design_scores_gemma":[0.0005849946,0.0001970255,0.003110172,0.00008052991,0.000007714263,1.66154e-7,0.0002241639,0.00001488714,0.0004588972,0.01288153,0.9821932,0.0002466899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1890515,0.1345824,0.04708679,0.1219839,0.02560041,0.01329422,0.0003113666,0.0006330833,0.4674563],"genre_scores_gemma":[0.04627285,0.4451906,0.001067805,0.0002663718,0.003532791,0.001199202,0.00003078877,0.00006634802,0.5023733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3581761,"threshold_uncertainty_score":0.9996648,"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."}}