{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.002188566,0.003926971,0.005271788,0.0009128635,0.000748265,0.001598612,0.01639125,0.002172464,0.05875169],"category_scores_gemma":[0.0001523373,0.003779368,0.00002006832,0.0001582389,0.003307992,0.002748703,0.008481576,0.002545982,0.1204844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003245386,"about_ca_system_score_gemma":0.001155843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3682472,"about_ca_topic_score_gemma":0.09201682,"domain_scores_codex":[0.9823302,0.001530749,0.003553874,0.005944421,0.003508635,0.003132116],"domain_scores_gemma":[0.9635989,0.001320187,0.008529492,0.02459692,0.00004260391,0.001911917],"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":[0.0009162421,0.001542623,0.00157932,0.002125264,0.003365513,0.002491427,0.00001762288,0.000003731573,0.00009814709,0.0001011737,0.9871789,0.0005800796],"study_design_scores_gemma":[0.004060616,0.0005218153,0.000110986,0.0005699827,0.002700611,0.001164097,0.0001606847,0.000420941,0.000001886481,0.000003242175,0.9862626,0.004022598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002354802,0.003031102,0.00001278945,0.000007292541,0.002400155,0.004013911,0.9799455,0.001048983,0.009516687],"genre_scores_gemma":[0.000202647,0.002640054,0.0004833144,0.0001753317,0.001187206,0.0001580517,0.9846264,0.002851849,0.007675119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2762303,"threshold_uncertainty_score":0.9997552,"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."}}