{"id":"W2973569894","doi":"","title":"Employment, Energy, and the Environment","year":2019,"lang":"en","type":"article","venue":"2019 APPAM Fall Research Conference","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Energy (signal processing); Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202657,0.0002285559,0.000236209,0.0007782544,0.003531672,0.004818733,0.0003466315,0.003376473,0.03906989],"category_scores_gemma":[0.001596755,0.0001955447,0.000264159,0.001103925,0.001263789,0.001662932,0.001974474,0.001745307,0.003070978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572618,"about_ca_system_score_gemma":0.009070063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06623971,"about_ca_topic_score_gemma":0.2055116,"domain_scores_codex":[0.9992794,0.00018083,0.00002126221,0.00004709155,0.0002122743,0.000259179],"domain_scores_gemma":[0.9993174,0.0002229737,0.00005917315,0.00002956738,0.0001437434,0.000227038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002881382,0.0007990706,0.05584435,0.0002923711,0.0000824986,0.0002531139,0.001747629,0.001014948,0.00129236,0.3623295,0.4143396,0.1617163],"study_design_scores_gemma":[0.00003280198,0.00008821494,0.05108735,0.0008064125,0.00002809493,0.0000541496,0.005734453,0.0002870032,0.0004465963,0.03185208,0.9095611,0.00002190405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04422046,0.03160472,0.0003987456,0.3622901,0.003393963,0.00003248886,0.00107737,0.00004224452,0.55694],"genre_scores_gemma":[0.4871644,0.03340757,0.0007847264,0.03099595,0.002596037,0.0000974015,0.0005207084,0.00003445323,0.4443987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06623971,"threshold_uncertainty_score":0.1317083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691983875589677,"score_gpt":0.2907746547147037,"score_spread":0.2538548159588069,"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."}}