{"id":"W6901596814","doi":"10.6068/dp15a2999dc6015","title":"TREND: Xignite. FactSet Corporate Fundamentals: PE Ratio | Stock Symbol: CAG | Symbol Name: ConAgra 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":[],"consensus_categories":[],"category_scores_codex":[0.001243701,0.002364845,0.001746963,0.004406591,0.000961594,0.003536367,0.003717823,0.002694705,0.1467354],"category_scores_gemma":[0.007999395,0.0007646941,0.001385776,0.007737742,0.0003664004,0.002517094,0.002009766,0.002331689,0.2581437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652215,"about_ca_system_score_gemma":0.002507986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02866118,"about_ca_topic_score_gemma":0.04702586,"domain_scores_codex":[0.9989467,0.0001140211,0.0001135581,0.0003885381,0.0002577112,0.0001793894],"domain_scores_gemma":[0.9967387,0.0006580062,0.0003869806,0.0007272466,0.001176287,0.0003126535],"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":[0.00002189728,0.000009104879,0.0005447328,0.0001748815,0.00001171882,0.000009054975,0.000006783182,0.00009618608,0.00003579127,0.0002101364,0.9978468,0.001032931],"study_design_scores_gemma":[0.0002395274,0.0000278785,0.004224301,0.0003423208,0.00003441455,0.00004774894,0.00006920858,0.000604652,0.0002655486,0.001165127,0.9929457,0.00003344214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006147553,0.00002731042,0.00003310791,0.00006167277,0.00002236451,0.000008524591,0.9989501,0.0003105104,0.0005250453],"genre_scores_gemma":[0.0001478984,0.00002452008,0.0001347418,0.0000515302,0.00001008461,0.00004963415,0.9989049,0.00006060559,0.0006160034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1467354,"threshold_uncertainty_score":0.4908787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07869031654664968,"score_gpt":0.3196971152346651,"score_spread":0.2410067986880154,"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."}}