{"id":"W4411452440","doi":"10.61959/bcgo5222e","title":"Modern Family Finances: Military and Veteran Families in Canada","year":2019,"lang":"en","type":"report","venue":"","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stressor; Childbirth; Work (physics); Political science; Business; Demographic economics; Economic growth; Psychology; Psychiatry; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005093864,0.0002084722,0.0001854219,0.001895243,0.008478025,0.002052377,0.0009693603,0.0004759457,0.006235163],"category_scores_gemma":[0.001685457,0.0002199817,0.0002593313,0.004469108,0.0009418929,0.0007873234,0.001672549,0.001282545,0.0002654519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06619055,"about_ca_system_score_gemma":0.1022638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973866,"about_ca_topic_score_gemma":0.9991511,"domain_scores_codex":[0.9992205,0.0000534322,0.00002406555,0.00003689321,0.0002144027,0.0004506531],"domain_scores_gemma":[0.9972411,0.00009643198,0.0002919354,0.00003537002,0.0008438184,0.001491254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008367369,0.0002344662,0.8598068,0.000115136,0.00003427827,0.001114028,0.02408342,0.0002858791,0.0001883033,0.005091034,0.04874552,0.06021749],"study_design_scores_gemma":[0.000009638067,0.00002824506,0.9035182,0.0001798859,0.00001419493,0.0002487193,0.06141313,0.0002028846,0.00006784342,0.0002656638,0.03402566,0.00002594218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487143,0.004726247,0.00008533132,0.01159453,0.0001009972,0.0001053127,0.007062348,0.00001452114,0.02759642],"genre_scores_gemma":[0.9768548,0.006638951,0.0002218931,0.0009534685,0.00004016236,0.00003990389,0.001909076,0.000009155427,0.01333262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06619055,"threshold_uncertainty_score":0.4802483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130863528801458,"score_gpt":0.3900411609972612,"score_spread":0.1769548081171154,"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."}}