{"id":"W6920192608","doi":"10.6068/dp15928ef84d552","title":"Trend. Xignite. FactSet Corporate Fundamentals: Price to Earnings Growth Ratio | Country: USA | Stock Symbol: BJWTF | Symbol Name: Beijing Enterprises Water Group Ltd | Exchange: OTC Pink Marketplace, 12/22/2011-12/21/2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-140.","year":2016,"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); Earnings per share; License; Beijing; Stock exchange; 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":[0.001018664,0.002229889,0.001442536,0.004297916,0.0007782647,0.00380521,0.003298538,0.002437578,0.1516839],"category_scores_gemma":[0.00628461,0.0008466754,0.001361363,0.009046749,0.0003296128,0.002915333,0.00230709,0.002363745,0.2672949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475048,"about_ca_system_score_gemma":0.001809269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325773,"about_ca_topic_score_gemma":0.03303258,"domain_scores_codex":[0.9991267,0.00009388306,0.00008951757,0.0003098072,0.000226246,0.0001536898],"domain_scores_gemma":[0.9978191,0.0004598662,0.0002826621,0.0004972924,0.0007190506,0.0002221566],"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":[0.00002144128,0.00000904118,0.0005621763,0.000206333,0.00001272117,0.000009359509,0.00001041035,0.0001081114,0.00003333796,0.0002523945,0.9975532,0.001221436],"study_design_scores_gemma":[0.0002017318,0.00002561402,0.003970594,0.0003564867,0.00002423748,0.00003962489,0.00007446565,0.000559947,0.0002759483,0.001298879,0.9931402,0.00003236299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006326632,0.00002852298,0.00002921807,0.00005762426,0.0000241943,0.000007223005,0.9986936,0.0004011738,0.0006951903],"genre_scores_gemma":[0.0001674877,0.0000341674,0.0001429422,0.00004460542,0.000009403484,0.00004373938,0.9986556,0.0001008548,0.0008012064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483161,"threshold_uncertainty_score":0.5074331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384164762574345,"score_gpt":0.2777762622490048,"score_spread":0.2393597859915703,"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."}}