{"id":"W7134737171","doi":"","title":"Energy Series","year":2020,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007004063,0.0002332054,0.0001942538,0.00002289961,0.0001350372,0.0000478611,0.0003586356,0.0001387988,0.01709766],"category_scores_gemma":[0.00001927116,0.0002158195,0.00009084812,0.0003848894,0.0002112978,0.0003853037,0.000466502,0.0001840202,0.003121163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118287,"about_ca_system_score_gemma":0.000002882481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178901,"about_ca_topic_score_gemma":0.000050971,"domain_scores_codex":[0.9986504,0.00002368339,0.0002025257,0.0004138296,0.0002885393,0.0004210783],"domain_scores_gemma":[0.9993168,0.00002029228,0.00006508403,0.0003073139,0.000001438919,0.000289114],"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":[0.000322834,0.0003696831,0.04524282,0.00003965534,0.00007606632,0.0003496772,0.002633914,0.001319247,0.3160397,0.0009479221,0.3733622,0.2592962],"study_design_scores_gemma":[0.0004328323,0.0003320829,0.008855631,0.00001871216,0.00002617719,0.00004956741,0.0003578801,0.0010561,0.0306666,0.001056468,0.9565309,0.0006170564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6890454,0.0006657964,0.008140261,0.0273598,0.0004825582,0.0005068567,0.0001033102,0.001707221,0.2719888],"genre_scores_gemma":[0.9922995,0.0003752391,0.001009786,0.004477894,0.000147626,0.00002413253,0.00002620664,0.00005006336,0.001589583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5831687,"threshold_uncertainty_score":0.997655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870800332757407,"score_gpt":0.2073669467776867,"score_spread":0.1886589434501127,"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."}}