{"id":"W6976504967","doi":"10.6068/dp174ef7613aa69","title":"TREND: Sharadar. Core US Fundamentals: Sharadar Fundamentals | Symbol: SBUX | Symbol Name: Starbucks Corp | Indicator: Net Cash Flow - Business Acquisitions and Disposal, Net Cash Flow - Investment Acquisitions and Dispos, Net Cash Flow / Change in Cash &amp; Cash Equivalents, Net Cash Flow from Financing, Net Cash Flow from Investing, Net Cash Flow from Operations, 1994/3 - 2020/2. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 093-002-001","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Net income; Operating cash flow; Cash flow statement; Cash management; Cash flow forecasting; Terminal value; Cash on cash return","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":[0.001266825,0.00196853,0.001415569,0.004664306,0.0008621818,0.003517674,0.003382986,0.001850612,0.118533],"category_scores_gemma":[0.008794243,0.0008507071,0.001282822,0.01050633,0.0003590935,0.002903871,0.001854957,0.002129943,0.2138968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701084,"about_ca_system_score_gemma":0.003782575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04146995,"about_ca_topic_score_gemma":0.0498283,"domain_scores_codex":[0.998875,0.0001178411,0.0001454181,0.0003917365,0.0002793346,0.0001906807],"domain_scores_gemma":[0.9953977,0.0006507039,0.0005739502,0.0009996837,0.001994164,0.0003837078],"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":[0.0000142513,0.000005870618,0.0004270349,0.00008041087,0.000007069125,0.000003893939,0.000004885916,0.00005735208,0.00001480205,0.0001697425,0.9983838,0.0008308604],"study_design_scores_gemma":[0.0001620644,0.00001859852,0.004909758,0.000283263,0.00002610911,0.00002694993,0.0001082503,0.0005472318,0.0002113545,0.001168236,0.992504,0.00003412741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006424507,0.00001848551,0.00003796602,0.00008001462,0.00003472116,0.000006764365,0.9988608,0.0002521781,0.0006447952],"genre_scores_gemma":[0.0002424303,0.00002844629,0.000143627,0.00004790418,0.00001433475,0.00004983955,0.9985404,0.0000921029,0.0008408531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118533,"threshold_uncertainty_score":0.3965324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981151123910574,"score_gpt":0.2924088758236331,"score_spread":0.2325973645845274,"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."}}