{"id":"W112047905","doi":"","title":"A Napster for Financial Data? A Boon to Financial Planners and Individual Investors","year":2003,"lang":"en","type":"article","venue":"Journal of accountancy online/Journal of accountancy","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finance; XBRL; Business; Audit trail; Economics; Audit; Accounting","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"],"consensus_categories":[],"category_scores_codex":[0.00396028,0.0006032125,0.001315492,0.001369138,0.0003520469,0.0006486519,0.001434739,0.0003426821,0.00005396546],"category_scores_gemma":[0.008226655,0.0005150929,0.0004239782,0.0009815196,0.0001194164,0.005102099,0.0002698087,0.0009910534,0.00001344157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696964,"about_ca_system_score_gemma":0.00142564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004622635,"about_ca_topic_score_gemma":0.0002956517,"domain_scores_codex":[0.9942312,0.00003488495,0.002974572,0.0004915396,0.001453407,0.0008143623],"domain_scores_gemma":[0.9917984,0.0002216264,0.0050067,0.000546234,0.002259055,0.0001679946],"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":[0.007111919,0.002867323,0.1785331,0.001411271,0.0009111924,0.002483255,0.001606096,0.0003812001,0.002540826,0.01622892,0.725171,0.06075388],"study_design_scores_gemma":[0.00626079,0.000963072,0.08086871,0.001544073,0.001036676,0.002279632,0.0008128099,0.0001282131,0.0001246678,0.01178103,0.8930582,0.001142061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886751,0.002491938,0.001384763,0.001598627,0.004498118,0.0004796053,0.0001494816,0.00002479012,0.0006975619],"genre_scores_gemma":[0.9550572,0.0003716917,0.01633863,0.01054599,0.01724123,0.00001032546,0.00006182033,0.0001760248,0.0001970828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678873,"threshold_uncertainty_score":0.9997301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06339186969318215,"score_gpt":0.2906455470458483,"score_spread":0.2272536773526661,"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."}}