{"id":"W3177259224","doi":"10.3934/qfe.2021024","title":"Learning about financial health in Canada","year":2021,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Payroll; Demographics; Perspective (graphical); Cluster (spacecraft); Coping (psychology); Point (geometry); Cluster analysis; Psychology; Financial distress; Demographic economics; Actuarial science; Business; Economics; Demography; Sociology; Accounting; Computer science; Clinical psychology; Artificial intelligence; Mathematics; Financial system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003302561,0.00005761368,0.0002017532,0.00001944714,0.0003499543,0.00002967313,0.00004740902,0.00002991904,0.0000323343],"category_scores_gemma":[0.0002571557,0.00006995931,0.00001630948,0.00009243003,0.00005175648,0.0001320492,0.00001828599,0.0001293924,0.000004962028],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824332,"about_ca_system_score_gemma":0.007588271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9441906,"about_ca_topic_score_gemma":0.9982171,"domain_scores_codex":[0.9991581,0.00009675713,0.0002052789,0.000160358,0.00003187922,0.0003475782],"domain_scores_gemma":[0.9996004,0.0001797122,0.00007823239,0.00004509609,0.00002622634,0.00007029295],"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":[0.000009979359,0.0000108672,0.2639939,0.00004873089,0.000002687718,0.00001125035,0.009694395,0.0005535734,8.965675e-8,0.6907886,0.001943185,0.03294268],"study_design_scores_gemma":[0.0001735747,0.00002018541,0.5160373,0.00005046896,5.449049e-7,4.12911e-7,0.01433714,0.000310259,0.000002201275,0.001798103,0.467168,0.0001017793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785849,0.002483548,0.00002068881,0.01472114,0.0003274835,0.00006540189,0.00001744775,0.00000483087,0.003774516],"genre_scores_gemma":[0.9601086,0.03099244,0.0007184464,0.007080962,0.00006018957,0.000007228094,0.000007648375,0.000005957801,0.001018506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6889905,"threshold_uncertainty_score":0.9980378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060984997730092,"score_gpt":0.3163007043122275,"score_spread":0.2856908543349266,"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."}}