{"id":"W2927382003","doi":"10.3386/w25695","title":"GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Value (mathematics); Digital economy; Economics; Business; Commerce; Accounting; Mathematics; Computer science; Statistics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003099662,0.0008529676,0.0004470661,0.003235194,0.000724105,0.00256793,0.000880532,0.001012564,0.00560827],"category_scores_gemma":[0.01263371,0.0002189565,0.0007623407,0.005807059,0.001308261,0.004177839,0.001862902,0.001824968,0.0009376215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003044594,"about_ca_system_score_gemma":0.003178959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039172,"about_ca_topic_score_gemma":0.0237277,"domain_scores_codex":[0.9977264,0.000919761,0.0001038715,0.0002369874,0.0008566887,0.0001563312],"domain_scores_gemma":[0.9962996,0.001331681,0.0008840088,0.0005672114,0.0007366551,0.0001809728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002070899,0.0003509574,0.05955946,0.0006892178,0.0002104278,0.0001535607,0.0005326946,0.07997404,0.001263701,0.6596503,0.07213038,0.1252782],"study_design_scores_gemma":[0.0001016502,0.0003166722,0.1092415,0.0006325201,0.0002232316,0.0003075947,0.001254432,0.08890243,0.00724563,0.4558595,0.3357002,0.0002145891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3482653,0.008385796,0.2882026,0.009893089,0.001255178,0.001097433,0.06991728,0.001139652,0.2718436],"genre_scores_gemma":[0.8726303,0.004762704,0.07472306,0.0005218752,0.0002181731,0.001104414,0.02329017,0.0002468224,0.02250251],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02039172,"threshold_uncertainty_score":0.04054606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3475727899996001,"score_gpt":0.4437706689731625,"score_spread":0.09619787897356241,"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."}}