{"id":"W6957994851","doi":"10.6068/dp15b7ce2db0615","title":"TREND: Xignite. FactSet Corporate Fundamentals: Total Expenses | Stock Symbol: WFC | Symbol Name: Wells Fargo & Co, 12/31/2011 - 12/31/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-161","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; Stock (firearms); Stock market; Stock exchange; Context (archaeology); 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":[0.0008918947,0.002242521,0.00140909,0.004712577,0.0007518142,0.00339366,0.002876236,0.002168379,0.1052646],"category_scores_gemma":[0.005304561,0.0007515259,0.001094269,0.009269901,0.0003186478,0.002555742,0.001842914,0.00215393,0.2150153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784568,"about_ca_system_score_gemma":0.002492512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04535536,"about_ca_topic_score_gemma":0.06333575,"domain_scores_codex":[0.9991761,0.0000772096,0.00007666984,0.0002739167,0.0002460793,0.0001499437],"domain_scores_gemma":[0.9977945,0.0003284114,0.0002700846,0.0004778559,0.000902586,0.0002265495],"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":[0.00001790103,0.000008839311,0.0006293097,0.0001352912,0.00001044234,0.000008884542,0.00000810165,0.0001217679,0.0000328627,0.0002618743,0.9975724,0.001192363],"study_design_scores_gemma":[0.0001264042,0.00001924718,0.004413505,0.0002718772,0.0000212285,0.00003869151,0.0000767641,0.0006954229,0.0002389078,0.0008765779,0.9931931,0.00002831145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009142663,0.00003015724,0.00003552222,0.00006410816,0.00002240925,0.000008917804,0.998456,0.000364208,0.0009272736],"genre_scores_gemma":[0.0001657409,0.00002724488,0.0001079007,0.00003468324,0.000007313618,0.00003205473,0.9988095,0.00005482839,0.0007607397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1052646,"threshold_uncertainty_score":0.3521452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08211941526665338,"score_gpt":0.3176970996014459,"score_spread":0.2355776843347925,"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."}}