{"id":"W6957915057","doi":"10.6068/dp1599a3da1f916","title":"TREND: Xignite. FactSet Corporate Fundamentals: EBITDA | Stock Symbol: AMZN | Symbol Name: Amazon.com Inc, 12/31/2011 - 12/31/2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-068","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings before interest, taxes, depreciation, and amortization; Earnings; Currency; Stock (firearms); 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":[0.0009992399,0.002385056,0.001587129,0.004724159,0.000795581,0.003693009,0.003423729,0.00235552,0.1304248],"category_scores_gemma":[0.006170357,0.0007674405,0.001219373,0.008702392,0.000338074,0.003050849,0.00203129,0.00212509,0.2739981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437212,"about_ca_system_score_gemma":0.002097501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344125,"about_ca_topic_score_gemma":0.03280716,"domain_scores_codex":[0.9991519,0.00008638992,0.00007783889,0.0002964828,0.0002398825,0.0001474423],"domain_scores_gemma":[0.9977422,0.0003703418,0.0002419024,0.000584931,0.0008353712,0.0002253613],"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":[0.00001825852,0.000008186259,0.0004620136,0.0001456659,0.00001063943,0.000009475419,0.000008031138,0.0001085296,0.0000411311,0.0002594446,0.9977188,0.001209663],"study_design_scores_gemma":[0.0001494749,0.00002232326,0.003160854,0.0002243659,0.00002290569,0.00004609406,0.00005934392,0.0006907483,0.0002621257,0.001126523,0.9942087,0.00002650273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009486672,0.00003948261,0.00005117935,0.00008190581,0.00002920974,0.00001039861,0.9980557,0.000688287,0.0009489266],"genre_scores_gemma":[0.0001714713,0.0000324944,0.0001414139,0.000044956,0.0000103318,0.00003657564,0.9986919,0.0001014661,0.0007693743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1304248,"threshold_uncertainty_score":0.4363146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06963772975366345,"score_gpt":0.3099147783053605,"score_spread":0.2402770485516971,"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."}}