{"id":"W6997184947","doi":"","title":"United States, Canada and Mexico issue summary from North American Energy Ministerial","year":2017,"lang":"en","type":"other","venue":"","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Energy (signal processing); Energy policy; Latin Americans; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001040956,0.0009696083,0.0008618482,0.002298518,0.001720409,0.003915287,0.001006923,0.001780949,0.2543718],"category_scores_gemma":[0.001999712,0.0004466789,0.0004941911,0.002848961,0.0004577338,0.001312259,0.001213034,0.001585222,0.1227494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003092515,"about_ca_system_score_gemma":0.01361837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1430464,"about_ca_topic_score_gemma":0.2850798,"domain_scores_codex":[0.9992693,0.00002616433,0.00002123462,0.00006441118,0.000500761,0.000118153],"domain_scores_gemma":[0.9969669,0.0002492256,0.0001322622,0.0001098423,0.001937371,0.0006044784],"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":[0.0000106106,0.000006159796,0.00005603733,0.0000353684,7.932673e-7,0.000007497319,0.000003499569,0.00002235129,0.00002932971,0.0001515105,0.992452,0.007224766],"study_design_scores_gemma":[0.000004354626,0.000003971161,0.001009467,0.00004508285,0.000001324605,0.000004751276,0.00002109489,0.0000189876,0.00003707593,0.00009465505,0.9987562,0.00000300195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001414658,0.01867595,0.001014269,0.04562735,0.07230344,0.0006028775,0.05694639,0.001313469,0.8021016],"genre_scores_gemma":[0.001194195,0.004362406,0.0002294963,0.002097505,0.002532895,0.00008030818,0.006758404,0.0001705538,0.9825744],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8569536,"threshold_uncertainty_score":0.8509584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006151473409226114,"score_gpt":0.1963940833676497,"score_spread":0.1902426099584236,"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."}}