{"id":"W6920145655","doi":"10.6068/dp15b44b10b8410","title":"Trend. Xignite. FactSet Corporate Fundamentals: Low Price Last 9 Months | Country: USA | Stock Symbol: TSNU | Symbol Name: Tyson Foods Inc | Exchange: NYSE Arca, 08/07/2014-04/05/2017. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-109.","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 exchange; Stock (firearms); Stock market; Earnings; Common stock; License","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":[0.0009389829,0.002040148,0.001290298,0.004587849,0.0007017285,0.003644804,0.002921162,0.002079208,0.1623915],"category_scores_gemma":[0.006037038,0.0008332414,0.001204585,0.008779614,0.0002929835,0.002733801,0.002225731,0.002128116,0.2581698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134845,"about_ca_system_score_gemma":0.001733045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205338,"about_ca_topic_score_gemma":0.02969274,"domain_scores_codex":[0.9992056,0.00007280509,0.00008202185,0.0002803816,0.0002204156,0.0001387521],"domain_scores_gemma":[0.9977199,0.0004785402,0.0003092055,0.0005323392,0.00073657,0.0002233241],"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":[0.00002198888,0.000008114446,0.0006474243,0.000183712,0.00001225304,0.000009867386,0.00001103021,0.00011156,0.0000410351,0.0002933087,0.9973106,0.001349097],"study_design_scores_gemma":[0.0001625318,0.00002560215,0.004331612,0.0003012254,0.00002172557,0.00003951661,0.00007163947,0.0004831776,0.0002822148,0.0009821046,0.9932688,0.00002980343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007037156,0.00002309302,0.00003028895,0.00004890304,0.00002197996,0.000006940491,0.9986454,0.0004104152,0.000742694],"genre_scores_gemma":[0.0001727054,0.00002622615,0.0001271263,0.00003399364,0.000008669515,0.00003586912,0.9986926,0.00009958762,0.000803141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1623915,"threshold_uncertainty_score":0.5432535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07458749573926894,"score_gpt":0.3137914234805247,"score_spread":0.2392039277412558,"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."}}