{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752827,0.0006877341,0.0005203794,0.002785577,0.001921548,0.007413256,0.0008765624,0.002448676,0.09756053],"category_scores_gemma":[0.007911003,0.0002841853,0.0004102187,0.004466141,0.002099089,0.006493921,0.002714108,0.002766143,0.02972272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005393736,"about_ca_system_score_gemma":0.005808755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005904398,"about_ca_topic_score_gemma":0.004128371,"domain_scores_codex":[0.9975858,0.0004530749,0.0001190129,0.000305488,0.001245247,0.0002913675],"domain_scores_gemma":[0.9974211,0.0006920005,0.000174065,0.0004667835,0.0009960867,0.0002500104],"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":[0.00001245253,0.00002714895,0.0006005769,0.0001378079,0.000007744485,0.00004684346,0.0001024001,0.0002082051,0.0000647362,0.7008137,0.225337,0.07264137],"study_design_scores_gemma":[0.000003036486,0.000007580959,0.0005410847,0.000230418,0.00000236618,0.0000674342,0.00008297523,0.00006964948,0.00008282447,0.04984173,0.9490659,0.000004977863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00144309,0.01609884,0.004077683,0.02076924,0.001326446,0.0001140042,0.002445429,0.0001845571,0.9535407],"genre_scores_gemma":[0.09218518,0.1014078,0.008039611,0.01458811,0.003433431,0.0005145442,0.006327046,0.0003010072,0.7732033],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.09756053,"threshold_uncertainty_score":0.3263724,"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."}}