{"id":"W7097611871","doi":"","title":"THE AUTHORS OF THIS ISSUE","year":2009,"lang":"en","type":"article","venue":"","topic":"Public health and occupational medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Renewable energy; Government (linguistics); Energy policy; Energy (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002850529,0.000865538,0.0009118588,0.001223519,0.003063979,0.006715669,0.002076921,0.01036687,0.112271],"category_scores_gemma":[0.02221852,0.0005625994,0.001064854,0.0009819972,0.00137679,0.003271142,0.001743429,0.01182848,0.07479722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112627,"about_ca_system_score_gemma":0.003401775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246332,"about_ca_topic_score_gemma":0.005441651,"domain_scores_codex":[0.9978697,0.0002442561,0.0001989689,0.000264025,0.001148901,0.0002740991],"domain_scores_gemma":[0.9839108,0.00319099,0.0008957544,0.001034987,0.008270537,0.002696854],"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":[0.00001123866,0.00001050719,0.0001064877,0.00003726011,0.000002748294,0.00002989192,0.00001367693,0.000005545451,0.00002726999,0.0005061162,0.9910745,0.008174801],"study_design_scores_gemma":[0.000008954788,0.000006640699,0.0002102177,0.00005806149,0.000005844255,0.00005915997,0.0000538539,0.00001747253,0.00006993354,0.0003806881,0.9991243,0.000004903475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001373068,0.003615262,0.0002403346,0.1583109,0.8173692,0.00002187596,0.0001690236,0.000118468,0.0200177],"genre_scores_gemma":[0.003006436,0.007194815,0.0003793074,0.1925387,0.5691118,0.00005436771,0.0004531881,0.0002459166,0.2270155],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.887729,"threshold_uncertainty_score":0.3755838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253383801115351,"score_gpt":0.412051215032833,"score_spread":0.3867128349212979,"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."}}