{"id":"W4377826331","doi":"10.56227/23.1.15","title":"Gen Z and Investing: Social Media, Crypto, FOMO, and Family","year":2023,"lang":"en","type":"report","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; China; Advertising; Psychology; Demography; Genealogy; Demographic economics; Sociology; Business; Political science; History; Law; Economics","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006485329,0.0004730528,0.0006272615,0.0005243634,0.0002739994,0.001041285,0.0002519102,0.0004170343,0.00006089625],"category_scores_gemma":[0.0017823,0.0004599197,0.0001005924,0.0005862929,0.0002634238,0.0008771298,0.0009696104,0.0004033709,0.0002899568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007801819,"about_ca_system_score_gemma":0.000163895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581916,"about_ca_topic_score_gemma":0.00114925,"domain_scores_codex":[0.9975164,0.000004758107,0.0005198561,0.000737841,0.0007183927,0.0005027877],"domain_scores_gemma":[0.9987854,0.0001551595,0.0004964767,0.0001978022,0.0003394979,0.00002569084],"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":[0.00001297808,0.00003150349,0.01836685,0.002401219,0.0001123242,0.0001800074,0.000103045,2.017233e-7,0.0001174041,0.02576382,0.8932127,0.05969799],"study_design_scores_gemma":[0.0003556978,0.000008313315,0.1108645,0.0003829952,0.0001463518,0.00001782138,0.0002665559,0.00008335269,0.000007826279,0.01997139,0.8669323,0.000962848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1112237,0.001118692,0.00007671131,0.000646158,0.002105626,0.0004122679,0.0000339759,0.0009250822,0.8834578],"genre_scores_gemma":[0.8316022,0.003248335,0.001116155,0.005033675,0.03071497,0.0002458389,0.001280504,0.001115949,0.1256424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7578154,"threshold_uncertainty_score":0.9999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564850235231886,"score_gpt":0.2961578119797422,"score_spread":0.1396727884565536,"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."}}