{"id":"W7071757198","doi":"","title":"Tech Stock News Bite - Uber (NYSE: UBER) Fourth Quarter and Full Year 2023 Results","year":2024,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); High tech; Stock market","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002192716,0.001264273,0.0007404697,0.00449604,0.001201394,0.00620829,0.001164873,0.001471956,0.4696473],"category_scores_gemma":[0.007148452,0.0004261684,0.0009480651,0.00320611,0.0002795561,0.001519539,0.001853831,0.001625898,0.4746932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197396,"about_ca_system_score_gemma":0.003152681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326446,"about_ca_topic_score_gemma":0.03904169,"domain_scores_codex":[0.9979507,0.0001268789,0.00009319841,0.0001430842,0.001321898,0.0003642909],"domain_scores_gemma":[0.9955822,0.0003603887,0.0002569054,0.0004731191,0.002507539,0.0008198636],"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":[0.00007528876,0.00003179743,0.000444987,0.00004549389,0.000004568491,0.00001211611,0.000005221133,0.00009801083,0.00004789416,0.0007096229,0.9868917,0.01163335],"study_design_scores_gemma":[0.00008955691,0.00005053204,0.009905151,0.0001470104,0.00001918167,0.00002398959,0.00006742899,0.000717664,0.000768935,0.002211891,0.9859693,0.00002937417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002710464,0.0006842599,0.001042151,0.003182253,0.002798166,0.0002391544,0.4196559,0.003166766,0.5665209],"genre_scores_gemma":[0.007301854,0.0005793479,0.001107741,0.00104984,0.0006172245,0.0002348395,0.2362248,0.001474775,0.7514095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5303527,"threshold_uncertainty_score":0.7564838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249005899324021,"score_gpt":0.2172387924682855,"score_spread":0.1847487334750452,"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."}}