{"id":"W6957855519","doi":"10.6068/dp15d41f1586688","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: CVX | Symbol Name: Chevron Corporation, 12/31/2011 - 12/31/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-118","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); CONQUEST; Stock market; Stock exchange; Context (archaeology)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000517391,0.0008757086,0.0009680416,0.0001335272,0.0002004428,0.0003099452,0.003364849,0.0009503148,0.005496121],"category_scores_gemma":[0.00003790783,0.0008130788,0.000007342871,0.00002960838,0.000497926,0.00008706077,0.001475338,0.0004280817,0.001410409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003797697,"about_ca_system_score_gemma":0.0004526845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034131,"about_ca_topic_score_gemma":0.003583064,"domain_scores_codex":[0.9954572,0.0003382436,0.0009661419,0.001947944,0.00068037,0.0006100958],"domain_scores_gemma":[0.990313,0.00007549708,0.002376186,0.006811505,0.00002057247,0.0004032727],"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":[0.0002301924,0.0002870104,0.0001925193,0.0003896465,0.0004296237,0.00003841167,0.000004051143,0.000001762107,0.007120937,0.00003249844,0.99042,0.0008533758],"study_design_scores_gemma":[0.001164162,0.0001939663,0.00005246436,0.00009217591,0.0003181868,0.00008179268,0.00006949732,0.0001133496,0.0001233629,0.000001819362,0.9968763,0.0009129245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000303103,0.002519677,0.00009507479,0.00001095551,0.0008993094,0.0009552705,0.9911634,0.00007572003,0.00425031],"genre_scores_gemma":[0.001065247,0.003613429,0.0002299036,0.0001479955,0.000616011,0.00007290761,0.9845924,0.0002800851,0.00938201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01675824,"threshold_uncertainty_score":0.999432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096715650556988,"score_gpt":0.3084861271343137,"score_spread":0.2575189706287438,"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."}}