{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946304,0.0001368007,0.0001503974,0.001175637,0.0008690245,0.001621451,0.0001957872,0.0004536754,0.009356292],"category_scores_gemma":[0.002382626,0.0001370865,0.0002049838,0.002313236,0.0005637925,0.00170192,0.0009189923,0.0006853842,0.0004639213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006122587,"about_ca_system_score_gemma":0.0007168753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02896265,"about_ca_topic_score_gemma":0.08615315,"domain_scores_codex":[0.9996194,0.0001353119,0.00002868576,0.00002503332,0.00008135112,0.0001101469],"domain_scores_gemma":[0.9971879,0.0007919181,0.001245838,0.00005186749,0.0001345956,0.0005879417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006469376,0.0001228734,0.9486109,0.00007145127,0.00003750795,0.0003026238,0.004561963,0.00005006461,0.00006418817,0.001492764,0.006991163,0.03762981],"study_design_scores_gemma":[0.000005711017,0.00005762079,0.9511069,0.0001965705,0.00003383496,0.0003976953,0.02472553,0.00009206827,0.00006109723,0.0004063711,0.0229038,0.00001276908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541624,0.00710205,0.00007079764,0.007746283,0.0001151332,0.00001523022,0.001498857,0.000008329461,0.02928098],"genre_scores_gemma":[0.9856695,0.007739014,0.00009512441,0.001001641,0.0001417889,0.00001409429,0.0007140958,0.000008561891,0.004616097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02896265,"threshold_uncertainty_score":0.0575881,"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."}}