{"id":"W7068080071","doi":"","title":"In the Name of Energy Sovereignty","year":2022,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sovereignty; Energy policy; Government (linguistics); Subsidy; Energy security; Energy (signal processing); Treaty; Renewable energy; Environmental impact of the energy industry; Energy law","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":[0.007214872,0.0007273933,0.0008774604,0.00134131,0.006532308,0.01159089,0.001637734,0.007595198,0.004812428],"category_scores_gemma":[0.01166514,0.0004102462,0.0006305084,0.002411044,0.05701265,0.01715196,0.00642661,0.01374067,0.001095177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005810022,"about_ca_system_score_gemma":0.005581093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00474194,"about_ca_topic_score_gemma":0.003600394,"domain_scores_codex":[0.9860088,0.007264318,0.0007075335,0.002301443,0.002607831,0.001110167],"domain_scores_gemma":[0.9945,0.003364242,0.000488313,0.0008329283,0.0006015789,0.000212926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001335738,9.999472e-7,0.00001923605,0.000008042994,9.693872e-7,0.000008045817,0.0007086697,0.00003221644,0.000009264653,0.9969529,0.00126033,0.0009980261],"study_design_scores_gemma":[0.000005363969,0.000009314148,0.0001033148,0.0001829901,0.000004843411,0.0000682584,0.0008548268,0.0001935766,0.00006097103,0.781526,0.2169763,0.00001418714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01106975,0.02684348,0.05164493,0.09543786,0.004452002,0.00005764058,0.0001782542,0.0001420597,0.810174],"genre_scores_gemma":[0.8568524,0.01717045,0.01413596,0.03418165,0.00605678,0.0003239739,0.0002383791,0.000305875,0.07073458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01159089,"threshold_uncertainty_score":0.04215485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006588224873594606,"score_gpt":0.2350268324460739,"score_spread":0.2284386075724793,"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."}}