{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003138378,0.004485417,0.004669103,0.00123459,0.0007511461,0.002173086,0.0106368,0.002566349,0.09712517],"category_scores_gemma":[0.0001546529,0.003831941,0.00001506044,0.0003784046,0.001705074,0.00447837,0.005754193,0.002781161,0.1843805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000798366,"about_ca_system_score_gemma":0.001613954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1976761,"about_ca_topic_score_gemma":0.06547406,"domain_scores_codex":[0.9799035,0.002482634,0.003913543,0.00513233,0.00416981,0.004398238],"domain_scores_gemma":[0.9749488,0.002212365,0.005766392,0.01414829,0.00006536482,0.002858828],"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":[0.001104068,0.0005944573,0.00006721915,0.001717146,0.001522037,0.001162224,0.00009513331,0.000007786374,0.0001128239,0.0003833754,0.9918457,0.001388086],"study_design_scores_gemma":[0.004472783,0.0006253407,0.00001295232,0.0006395,0.001586525,0.001981556,0.001110823,0.002280933,0.000002184976,0.0000035342,0.982467,0.004816891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006581857,0.008873547,0.0000613445,0.00001477436,0.002838447,0.004762407,0.9639488,0.001697498,0.01779655],"genre_scores_gemma":[0.0005125562,0.002366546,0.0002558082,0.000506875,0.001794102,0.0003211648,0.9742729,0.002701409,0.01726864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.132202,"threshold_uncertainty_score":0.9995195,"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."}}