{"id":"W6987626713","doi":"","title":"TotalEnergies SE UK Regulatory Announcement: TotalEnergies SE: Fourth Quarter and Full-Year 2023 Results","year":2024,"lang":"en","type":"other","venue":"","topic":"Diverse Perspectives in Modern Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); 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":[0.003982732,0.00134897,0.001090521,0.004813266,0.001126593,0.006335772,0.001373214,0.002623549,0.2435847],"category_scores_gemma":[0.01975279,0.0006365933,0.001329181,0.004596612,0.0006270865,0.002078319,0.002704236,0.002496565,0.1613804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004768055,"about_ca_system_score_gemma":0.006843739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08887073,"about_ca_topic_score_gemma":0.08934747,"domain_scores_codex":[0.9933969,0.000583215,0.0003974531,0.0004775644,0.004024809,0.001120042],"domain_scores_gemma":[0.9841855,0.002958637,0.001877491,0.001549287,0.007772068,0.001656931],"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":[0.0002553,0.0000583059,0.001804408,0.000150259,0.00002367862,0.00003150766,0.00002295764,0.0003893336,0.0000555961,0.001553548,0.9841681,0.01148692],"study_design_scores_gemma":[0.0003349164,0.0001525584,0.05791496,0.0002596487,0.00007619068,0.00007646767,0.0003919749,0.001441693,0.001928538,0.002756065,0.9345796,0.0000873633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01215876,0.00173501,0.001921219,0.010673,0.003969535,0.0004870388,0.6651121,0.002715495,0.3012278],"genre_scores_gemma":[0.0350329,0.001371616,0.001285444,0.002732211,0.0009740289,0.0007254456,0.2891926,0.001421124,0.6672646],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2435847,"threshold_uncertainty_score":0.8148721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293254570015879,"score_gpt":0.2404443805459052,"score_spread":0.2111189235443173,"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."}}