{"id":"W192476874","doi":"10.69645/uzag1051","title":"Equity crowdfunding and prosperity","year":2014,"lang":"en","type":"article","venue":"The business & management collection.","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Prosperity; Equity (law); Business; Economics; Monetary economics; Financial economics; Political science; Law; Economic growth","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":[0.001481061,0.0001379853,0.0002272441,0.002109543,0.001356996,0.002859819,0.0002185778,0.0007919355,0.00800064],"category_scores_gemma":[0.007586436,0.00007382899,0.000171262,0.001924113,0.003205474,0.001848583,0.001834732,0.001206089,0.0003113016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337152,"about_ca_system_score_gemma":0.002909622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553878,"about_ca_topic_score_gemma":0.03236213,"domain_scores_codex":[0.9992901,0.0001668395,0.00002762088,0.00007204524,0.0001850881,0.0002582725],"domain_scores_gemma":[0.9945898,0.001601849,0.001590392,0.0001707771,0.0008965382,0.001150578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002282111,0.0001290604,0.1687093,0.000177989,0.00009952771,0.0005680141,0.002540214,0.00163991,0.0001638488,0.4810469,0.1937388,0.1509582],"study_design_scores_gemma":[0.00005487478,0.0001016617,0.3318858,0.000880358,0.0001023935,0.0004121606,0.005742755,0.001546,0.0003678184,0.3243501,0.3344896,0.00006657603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3891175,0.05313286,0.001174419,0.1741942,0.001014749,0.00003188453,0.001736827,0.00007827092,0.3795193],"genre_scores_gemma":[0.981016,0.00873583,0.00007768248,0.001428904,0.0006499098,0.000005679181,0.0001834024,0.000008226197,0.007894299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553878,"threshold_uncertainty_score":0.03089666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627715866322856,"score_gpt":0.2292063217218669,"score_spread":0.2129291630586384,"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."}}