{"id":"W4385968354","doi":"10.1177/00221465231190977","title":"Policy Brief","year":2023,"lang":"en","type":"article","venue":"Journal of Health and Social Behavior","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008029632,0.0000983428,0.0003205305,0.0005462696,0.0004594492,0.000126358,0.0001091305,0.00005322617,0.00005534116],"category_scores_gemma":[0.0001109311,0.00008750167,0.0001367066,0.0007603253,0.00004045794,0.000494475,0.0000607772,0.0001494709,0.0000559473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004805619,"about_ca_system_score_gemma":0.000189372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661836,"about_ca_topic_score_gemma":0.0000380258,"domain_scores_codex":[0.9987151,0.00002051517,0.0005432084,0.00009799903,0.0003342653,0.000288928],"domain_scores_gemma":[0.9990746,0.00001671259,0.000605811,0.00005597666,0.0002159458,0.00003096857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003997924,0.00008370088,0.9194259,0.000151713,0.000006612557,0.00005263456,0.0005863502,5.052763e-7,0.00006657931,0.01011857,0.02303835,0.04642912],"study_design_scores_gemma":[0.0005497459,0.00004823134,0.9159481,0.00003497853,0.00006625828,0.000005276636,0.0004941104,0.00002283466,0.000001706736,0.001010197,0.08169966,0.0001188798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933881,0.0001186657,0.000002631898,0.005837677,0.0002875018,0.00009414837,0.000002019274,0.00003026582,0.0002390434],"genre_scores_gemma":[0.9918112,0.0001001382,0.00004592311,0.004867636,0.002808452,0.0000031154,0.00001598923,0.0000158639,0.0003317427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05866131,"threshold_uncertainty_score":0.3568214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678620210971978,"score_gpt":0.3236182917777632,"score_spread":0.2868320896680435,"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."}}