{"id":"W3216583002","doi":"10.3390/jrfm14120581","title":"Mental Time Travel and Retirement Savings","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discounting; Valuation (finance); Pension; Economics; Value (mathematics); Pension plan; Consumption (sociology); Actuarial science; Retirement planning; Present value; Finance; Computer science","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":[0.0005965849,0.0002140634,0.00009824853,0.0006733654,0.0003676742,0.002029115,0.0002698383,0.0005944111,0.00963316],"category_scores_gemma":[0.007051522,0.00008258689,0.0002101023,0.0005701375,0.001408355,0.001691391,0.001151575,0.0007531099,0.0003967701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294075,"about_ca_system_score_gemma":0.0003870595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004720513,"about_ca_topic_score_gemma":0.005215062,"domain_scores_codex":[0.9996806,0.0001526998,0.0000145274,0.00002095176,0.00006809528,0.0000632001],"domain_scores_gemma":[0.9980775,0.0007836364,0.0004668039,0.0001140312,0.0002560466,0.0003019914],"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":[0.0005080872,0.0002193966,0.1057349,0.000264187,0.00009656281,0.0008086762,0.01745859,0.006692015,0.001115605,0.7519933,0.006840058,0.1082686],"study_design_scores_gemma":[0.0000717421,0.0003951566,0.2991883,0.0006361113,0.0001305932,0.001759295,0.02425597,0.01219509,0.001245436,0.575014,0.08495424,0.0001540151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7751226,0.002547036,0.01012561,0.009885136,0.0001928605,0.00003164424,0.0003368151,0.00004646968,0.2017118],"genre_scores_gemma":[0.9939896,0.000370305,0.0009339363,0.0001341652,0.0000358546,0.000008249453,0.00005435275,0.00000621893,0.004467464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00963316,"threshold_uncertainty_score":0.03222609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00543899866276942,"score_gpt":0.189592470538546,"score_spread":0.1841534718757765,"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."}}