{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180326,0.0002192706,0.0003361004,0.0002824993,0.00001963276,0.0001358762,0.0003894655,0.00009814747,0.0001218436],"category_scores_gemma":[0.00006335018,0.0001814472,0.00002050479,0.0002427733,0.00005277395,0.0001660126,0.0004170925,0.00007678298,0.000003414093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003832397,"about_ca_system_score_gemma":0.0003154609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1369413,"about_ca_topic_score_gemma":0.3130494,"domain_scores_codex":[0.9983982,0.0000188039,0.0005755289,0.0004580198,0.0003163621,0.0002331085],"domain_scores_gemma":[0.9990286,0.00004419523,0.0002787915,0.0004790641,0.00006021109,0.0001091317],"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":[0.000002364818,0.00002387143,0.0002458378,0.000521083,0.00002701201,0.0001334132,0.0009330224,0.00001819482,0.00002805846,0.04119809,0.9443315,0.01253761],"study_design_scores_gemma":[0.00007228772,0.00003881661,0.00007272389,0.001137347,0.000005027934,0.0001709316,0.00005129659,0.007042329,0.001643827,0.001744546,0.987605,0.0004158735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003388788,0.000861861,0.2326846,0.0002740095,0.0003799023,0.00006796129,0.000002513103,0.00007403903,0.7653162],"genre_scores_gemma":[0.06149928,0.00005809297,0.01524206,0.001707904,0.00005200384,0.000007629318,0.000001989534,0.00006901123,0.921362],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2174426,"threshold_uncertainty_score":0.8688059,"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."}}