{"id":"W7094784106","doi":"","title":"Tesla Energy and Vikta Energy Partner to Enhance Power Resilience in Texas Ahead of Winter – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Energy (signal processing); Power (physics); Vulnerability (computing); Energy policy; Psychological resilience; Climate change","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":[0.0009220858,0.0004164401,0.0001836973,0.00046286,0.002483774,0.002120629,0.0006936851,0.0008380077,0.05257783],"category_scores_gemma":[0.001148223,0.0002165321,0.0002385751,0.0005288767,0.0004394379,0.0009691249,0.001136743,0.001315781,0.007005039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006311224,"about_ca_system_score_gemma":0.02928042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.505845,"about_ca_topic_score_gemma":0.7123695,"domain_scores_codex":[0.9995116,0.00002995227,0.000005571383,0.00003465821,0.0002259154,0.0001922402],"domain_scores_gemma":[0.9982449,0.00006299406,0.00002185491,0.00007742301,0.001070412,0.0005224581],"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":[0.0001809979,0.0001713446,0.004342917,0.00003968174,0.00001358543,0.0001087202,0.0001439768,0.002800521,0.002355316,0.01032252,0.9498953,0.02962516],"study_design_scores_gemma":[0.00005617605,0.0000882043,0.01062902,0.00006619762,0.00001785379,0.00005532949,0.001510399,0.004696076,0.004772855,0.001468159,0.9766168,0.00002284667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07507551,0.000999736,0.01000803,0.04804296,0.00489853,0.0007230742,0.02937014,0.003797242,0.8270848],"genre_scores_gemma":[0.1776995,0.0006780236,0.008054056,0.00161472,0.0001724199,0.0001269346,0.01102905,0.0008967546,0.7997285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.494155,"threshold_uncertainty_score":0.9941303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005384247820062825,"score_gpt":0.2433828312590187,"score_spread":0.2379985834389559,"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."}}