{"id":"W3217728923","doi":"10.33423/jabe.v22i13.3899","title":"Saving With Gusto","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Business; Economics; Actuarial science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007447663,0.0005336521,0.0003005791,0.0008965331,0.001926894,0.003190393,0.0004244278,0.001377057,0.1198598],"category_scores_gemma":[0.00294594,0.0001848179,0.0004665749,0.0005192056,0.001322865,0.003821469,0.003235905,0.001637385,0.02467783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015854,"about_ca_system_score_gemma":0.001178178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645357,"about_ca_topic_score_gemma":0.007730595,"domain_scores_codex":[0.9996035,0.00007505068,0.00001698903,0.00007060479,0.0001379779,0.00009586677],"domain_scores_gemma":[0.9995832,0.00007503851,0.00003553686,0.0001081407,0.00007800396,0.0001201187],"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":[0.0001210441,0.00003991108,0.002276621,0.00008156641,0.00001229258,0.0001795575,0.001010918,0.000253323,0.000280944,0.1362871,0.7245237,0.134933],"study_design_scores_gemma":[0.000007354518,0.00001346346,0.0008978713,0.00009902973,0.000005071282,0.00008889913,0.0003200239,0.0001395917,0.0001411245,0.01518616,0.9830897,0.00001178364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01082136,0.006116843,0.004618384,0.07742632,0.006087722,0.00005474899,0.001653849,0.001795685,0.8914251],"genre_scores_gemma":[0.1133363,0.005510746,0.004754809,0.0148544,0.002154424,0.00008725663,0.001521612,0.0006943439,0.8570861],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1198598,"threshold_uncertainty_score":0.4009709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208706326785916,"score_gpt":0.170317181517805,"score_spread":0.1582301182499459,"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."}}