{"id":"W6901510230","doi":"10.6068/dp15d421e938518","title":"TREND: Xignite. FactSet Corporate Fundamentals: Number of Employees | Stock Symbol: NOC | Symbol Name: Northrop Grumman Corp, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); CONQUEST; Earnings; Stock market; Stock exchange; Statistical analysis","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":[0.0009582571,0.002083305,0.001406095,0.005024868,0.0008157277,0.003207272,0.002870752,0.002182533,0.09766673],"category_scores_gemma":[0.005908626,0.0007537679,0.001021367,0.009689044,0.0003180857,0.002362891,0.001820841,0.002055127,0.1936767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001891893,"about_ca_system_score_gemma":0.002804276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05482761,"about_ca_topic_score_gemma":0.07535584,"domain_scores_codex":[0.9991376,0.00008258152,0.00007916992,0.0002931228,0.0002506837,0.0001567055],"domain_scores_gemma":[0.9973984,0.0003941359,0.0003059195,0.0005522266,0.001093614,0.0002557233],"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":[0.00001742057,0.000008199892,0.0006431153,0.0001247812,0.00001006486,0.000008694377,0.000008323972,0.0001120705,0.00003182313,0.0002509948,0.9976758,0.00110871],"study_design_scores_gemma":[0.0001335434,0.00002023672,0.005000314,0.0002555356,0.00002267309,0.00003901136,0.00008045504,0.0006306797,0.0002373503,0.00081764,0.9927334,0.00002907692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009318946,0.00002886479,0.00003344646,0.00006347223,0.00002106985,0.00000845905,0.9986128,0.0003271553,0.0008115486],"genre_scores_gemma":[0.0001783193,0.00002611935,0.0001050112,0.00003610693,0.000007483931,0.00003380301,0.998747,0.00005286377,0.0008132583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09766673,"threshold_uncertainty_score":0.3267278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06634265024478463,"score_gpt":0.3144187159189426,"score_spread":0.248076065674158,"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."}}