{"id":"W6901610300","doi":"10.6068/dp15a295b28cd9","title":"TREND: Xignite. FactSet Corporate Fundamentals: PE Ratio | Stock Symbol: FLO | Symbol Name: Flowers Foods 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; Stock (firearms); Market capitalization; Stock market","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001287118,0.002316311,0.001648333,0.004295503,0.0008946689,0.003342254,0.003564715,0.002654466,0.13912],"category_scores_gemma":[0.008241139,0.0007611796,0.001313562,0.007198022,0.0003625527,0.002448116,0.001915302,0.002299128,0.2434071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670377,"about_ca_system_score_gemma":0.002466412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02788182,"about_ca_topic_score_gemma":0.04490564,"domain_scores_codex":[0.9989524,0.0001102396,0.0001153662,0.0003818801,0.0002645513,0.0001754191],"domain_scores_gemma":[0.9965382,0.000674137,0.0004387729,0.0007394446,0.001277816,0.0003318368],"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":[0.00002351949,0.000009769942,0.0006605598,0.000166802,0.00001208184,0.000009391907,0.000006790735,0.0001052426,0.00003720038,0.0002121898,0.9976649,0.001091552],"study_design_scores_gemma":[0.0002583476,0.00003126697,0.004959057,0.000347117,0.00003497459,0.00004905422,0.00006914694,0.0006680494,0.0002886419,0.001203456,0.9920564,0.00003442366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006704206,0.00002653461,0.00003303388,0.00006373364,0.00002272283,0.000008996858,0.9989736,0.0002799025,0.000524441],"genre_scores_gemma":[0.0001639322,0.00002416241,0.0001326786,0.00005362654,0.00001103282,0.00005103575,0.9988507,0.00005431153,0.0006585495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.86088,"threshold_uncertainty_score":0.4654029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706949933830982,"score_gpt":0.3155478259475402,"score_spread":0.244852832564442,"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."}}