{"id":"W6901526043","doi":"10.6068/dp15a299f7e7718","title":"TREND: Xignite. FactSet Corporate Fundamentals: PE Ratio | Stock Symbol: PEP | Symbol Name: PepsiCo Inc, 02/10/2012 - 02/09/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-005-120","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; Earnings; Earnings per share; Market capitalization; Stock (firearms); Stock market; Stock market index","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":[0.001247321,0.002364566,0.00172919,0.004336341,0.0009144285,0.003376841,0.003637143,0.002675309,0.1288373],"category_scores_gemma":[0.007689059,0.000757342,0.001356383,0.007473822,0.0003696999,0.002428907,0.001928044,0.002351804,0.2352653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689505,"about_ca_system_score_gemma":0.002496015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02751626,"about_ca_topic_score_gemma":0.04344398,"domain_scores_codex":[0.9989651,0.0001124157,0.0001117009,0.0003761756,0.0002605105,0.0001739835],"domain_scores_gemma":[0.9967817,0.0006335315,0.000392664,0.0007115084,0.001164219,0.0003162271],"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":[0.00002391788,0.00001027664,0.0006078355,0.0001762251,0.00001275582,0.00000970186,0.000006718591,0.0001142063,0.00003908903,0.0002189638,0.9976853,0.001095056],"study_design_scores_gemma":[0.0002753942,0.0000316394,0.004703779,0.000353965,0.00003593271,0.00005206137,0.00006746013,0.0006943652,0.000294995,0.00121258,0.992243,0.00003482661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006627818,0.00002817408,0.00003268457,0.00006327253,0.00002276718,0.000008747548,0.9989792,0.0002950683,0.0005039093],"genre_scores_gemma":[0.0001538524,0.00002469846,0.0001272828,0.00005067596,0.00001015846,0.0000465769,0.998955,0.00005305479,0.0005785509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1288373,"threshold_uncertainty_score":0.4310039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07669800802990652,"score_gpt":0.3169554676580899,"score_spread":0.2402574596281834,"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."}}