{"id":"W4244551245","doi":"10.3386/w23684","title":"Digital Economics","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003015726,0.0003329445,0.0006391231,0.001513332,0.0003069701,0.001991435,0.00150328,0.0004317564,0.0004077007],"category_scores_gemma":[0.003714059,0.0003722505,0.0003043358,0.0001316678,0.000526663,0.003170299,0.0009876651,0.0007355191,0.003303376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640882,"about_ca_system_score_gemma":0.002945459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287266,"about_ca_topic_score_gemma":0.0002287136,"domain_scores_codex":[0.996815,0.000006714497,0.0008369905,0.0007481042,0.001016301,0.0005768384],"domain_scores_gemma":[0.9955196,0.0003209699,0.001156094,0.0006264192,0.002349816,0.00002711329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004702506,0.00006557222,0.003160373,0.0004749278,0.0001399286,0.000008084632,0.000002631928,0.00009139391,0.000005331059,0.5447978,0.4281228,0.02308404],"study_design_scores_gemma":[0.0002135809,0.00001203297,0.0009088451,0.0001496171,0.000007999843,0.000007653204,0.000007479521,0.0003370224,0.00001555888,0.32479,0.6732693,0.0002808372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003484429,0.0002035587,0.000004335788,0.000591815,0.001240336,0.000422339,0.0001853538,0.00004162625,0.9938262],"genre_scores_gemma":[0.8667791,0.0004392631,0.00004227696,0.00005295671,0.007053067,0.00008101744,0.00143355,0.0001326423,0.1239862],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.86984,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3583235112541218,"score_gpt":0.4715108786981498,"score_spread":0.113187367444028,"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."}}