{"id":"W2146482278","doi":"10.1111/j.1475-6773.2009.01049.x","title":"Does Major Illness Cause Financial Catastrophe?","year":2009,"lang":"en","type":"article","venue":"Health Services Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Institute on Aging; Robert Wood Johnson Foundation","keywords":"Health and Retirement Study; Medicine; Health insurance; Demography; Gerontology; Economics; Health care; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004983152,0.000183064,0.0002009904,0.0004609733,0.0002557656,0.0005013974,0.0001870157,0.0005452187,0.005323927],"category_scores_gemma":[0.007466662,0.00009623612,0.0003348588,0.000392813,0.000605677,0.0005173233,0.0004545862,0.0004348373,0.000329494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298155,"about_ca_system_score_gemma":0.0003819387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795921,"about_ca_topic_score_gemma":0.004361575,"domain_scores_codex":[0.9997284,0.00009523547,0.00002704573,0.00003844743,0.00003975802,0.00007106971],"domain_scores_gemma":[0.9955522,0.0008279929,0.002783927,0.00008919323,0.0002399227,0.0005066372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002259271,0.0001390693,0.9856624,0.00008560323,0.00006505864,0.0003215163,0.0001405021,0.000101396,0.000103243,0.0001687864,0.001074104,0.01191246],"study_design_scores_gemma":[0.000005879213,0.0001188137,0.9978516,0.00004642591,0.00002898792,0.000558834,0.0003913462,0.0001435213,0.00005575112,0.0002690689,0.0005254838,0.000004226456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887405,0.002461358,0.0001504489,0.003816226,0.00004818818,0.00002108461,0.0006575332,0.000006237462,0.004098332],"genre_scores_gemma":[0.9989421,0.0005231414,0.00004024122,0.0001217626,0.00006405941,0.000002700265,0.0001721816,5.77602e-7,0.0001333065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005323927,"threshold_uncertainty_score":0.01781029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613213650202696,"score_gpt":0.3439182920398479,"score_spread":0.317786155537821,"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."}}