{"id":"W6976412350","doi":"10.6068/dp1775b1dffb85","title":"TREND: Sharadar. Core US Fundamentals: Sharadar Fundamentals | Symbol: V, MA | Symbol Name: Visa Inc, Mastercard Inc | Indicator: Earning Before Interest & Taxes (USD), 2000/4 - 2020/3. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 093-002-001","year":2021,"lang":"en","type":"other","venue":"Data Planet","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Issuer; Stock (firearms); Payment; Core (optical fiber); Symbol (formal); Underwriting","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","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001175194,0.001202399,0.001306637,0.0005097288,0.0005881928,0.004646374,0.01292536,0.0005839205,0.01868348],"category_scores_gemma":[0.00008453724,0.001258584,0.00002131857,0.0004718398,0.000369221,0.00222098,0.01570459,0.002225126,0.001735487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036367,"about_ca_system_score_gemma":0.0004823857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445758,"about_ca_topic_score_gemma":0.01258155,"domain_scores_codex":[0.9915022,0.0005592397,0.001405748,0.003650102,0.001680438,0.001202298],"domain_scores_gemma":[0.9876906,0.001153821,0.00128986,0.009033249,0.000007059857,0.0008253669],"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":[0.00002928607,0.0003374759,0.0002531219,0.0002841216,0.0005212076,0.0003805597,0.0001172206,0.00001027054,0.00001071624,0.0008837021,0.9631425,0.03402985],"study_design_scores_gemma":[0.0008554168,0.00008577674,0.0004317852,0.00027417,0.0002082526,0.0003120832,0.0001876368,0.005390176,1.839099e-7,0.00007444723,0.9909922,0.00118789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002248317,0.001775706,0.002575141,0.000269293,0.0004514108,0.0009427076,0.9916716,0.0003882254,0.001903473],"genre_scores_gemma":[0.0004149437,0.0002082811,0.01027682,0.001199318,0.001141584,0.00005989027,0.9852793,0.000352904,0.001066953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03284196,"threshold_uncertainty_score":0.9990418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05871240909391028,"score_gpt":0.3062116552956643,"score_spread":0.247499246201754,"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."}}