{"id":"W6938908065","doi":"10.6068/dp15ef2fd1b9c34","title":"Trend. Xignite. FactSet Corporate Fundamentals: Total Enterprise Value | Country: USA | Stock Symbol: CAB | Symbol Name: Cabela's Inc | Exchange: NYSE Arca, 12/31/2011-12/31/2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-160.","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; Currency; License; Market value; Earnings; Value (mathematics)","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":[0.001156616,0.002211193,0.001513905,0.004389679,0.0008408168,0.003706788,0.003357437,0.002490355,0.1513864],"category_scores_gemma":[0.007333722,0.0008311009,0.001501227,0.00865866,0.000356963,0.002915062,0.002658813,0.002544873,0.2618115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159592,"about_ca_system_score_gemma":0.002031332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379649,"about_ca_topic_score_gemma":0.03434023,"domain_scores_codex":[0.9990373,0.0001052624,0.0001011268,0.0003357098,0.000244579,0.0001760766],"domain_scores_gemma":[0.9974674,0.000569076,0.0003003167,0.0005577482,0.0008524391,0.000252987],"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":[0.00002082113,0.000009348989,0.0005753108,0.0002203011,0.00001335991,0.000008865638,0.00001167059,0.0001038522,0.00003369774,0.0002569163,0.9976985,0.001047414],"study_design_scores_gemma":[0.0002171752,0.00002688731,0.00416122,0.0003881035,0.00002681929,0.00004449834,0.00008799529,0.0005272132,0.0002402275,0.001212321,0.993035,0.00003260596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006064136,0.00002536548,0.00002764171,0.0000628574,0.00002269051,0.000007745396,0.9988827,0.0003387875,0.0005715407],"genre_scores_gemma":[0.0001481782,0.00002703249,0.0001247512,0.00004468352,0.000008180706,0.0000479094,0.9988921,0.00008085841,0.0006262384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1513864,"threshold_uncertainty_score":0.506438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662801864445856,"score_gpt":0.3044902337411608,"score_spread":0.2382100472965752,"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."}}