{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009863235,0.002136288,0.001414714,0.005023065,0.0008152095,0.003176145,0.002895558,0.002260339,0.09476516],"category_scores_gemma":[0.005780902,0.000733338,0.001033839,0.009440284,0.0003175702,0.002341118,0.001783769,0.002121638,0.1912634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814351,"about_ca_system_score_gemma":0.00265071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04955734,"about_ca_topic_score_gemma":0.06779964,"domain_scores_codex":[0.999131,0.00008647565,0.00007793627,0.0002922333,0.0002546872,0.0001577413],"domain_scores_gemma":[0.9974719,0.0003828534,0.0003055542,0.000539913,0.001048746,0.0002509452],"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":[0.00001813891,0.000009253285,0.0006533365,0.0001227388,0.00001022775,0.000008730942,0.000008072614,0.0001198084,0.00003242355,0.000258277,0.997604,0.001155024],"study_design_scores_gemma":[0.0001451173,0.00002249951,0.005235903,0.0002583783,0.00002310746,0.00004213853,0.00008464151,0.0007422461,0.0002478041,0.0009202248,0.9922472,0.00003063645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009963253,0.00003117973,0.00003581463,0.00006644075,0.00002221432,0.000008799304,0.9986199,0.0003309241,0.000785008],"genre_scores_gemma":[0.0001859706,0.0000268468,0.0001102048,0.00003617289,0.000008069838,0.0000339973,0.9987667,0.0000492578,0.0007827694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09476516,"threshold_uncertainty_score":0.317021,"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."}}