{"id":"W6920549853","doi":"10.6068/dp1584a57d33f79","title":"Trend. Xignite. FactSet Corporate Fundamentals: Total Expenses | Country: USA | Stock Symbol: PNF | Symbol Name: Pimco New York Shs | Exchange: NYSE Arca, Day Format Error: 2147483647-Day Format Error: 0. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-005-161.","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Earnings; License; 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":[],"consensus_categories":[],"category_scores_codex":[0.001017164,0.001967499,0.001258329,0.00474082,0.0006804499,0.004088847,0.002749586,0.00177299,0.1975546],"category_scores_gemma":[0.007071716,0.0009423749,0.001188628,0.009766812,0.0002733568,0.002961733,0.002474234,0.002109555,0.310179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177435,"about_ca_system_score_gemma":0.002233317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02973772,"about_ca_topic_score_gemma":0.03723043,"domain_scores_codex":[0.9991016,0.00008358432,0.00009198537,0.00029041,0.0002752369,0.0001572097],"domain_scores_gemma":[0.9974501,0.0004887481,0.0003121721,0.0005757735,0.0009356191,0.0002376287],"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":[0.00001591369,0.000006433717,0.0004702412,0.0001550107,0.000009017451,0.00000684782,0.000009530123,0.00009208859,0.00002648774,0.0002754178,0.9976705,0.001262587],"study_design_scores_gemma":[0.0001148996,0.000015255,0.003343369,0.0002889485,0.00001549972,0.00002767298,0.00005917865,0.0004343428,0.000228435,0.0008069007,0.9946427,0.00002287525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007306526,0.00002352161,0.00003650015,0.0000689351,0.00002282921,0.00000898511,0.9978585,0.0006117842,0.00129592],"genre_scores_gemma":[0.0001738842,0.00003315576,0.0001465435,0.00003898032,0.000008034237,0.00004252078,0.9981989,0.0001634395,0.001194483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1975546,"threshold_uncertainty_score":0.6608862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027566193105137,"score_gpt":0.3180735561331663,"score_spread":0.2153169368226526,"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."}}