{"id":"W4392145531","doi":"10.3386/w32110","title":"Lives vs. Livelihoods: The Impact of the Great Recession on Mortality and Welfare","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Booth School of Business, University of Chicago","keywords":"Livelihood; Welfare; Recession; Great recession; Economics; Demographic economics; Development economics; Geography; Labour economics; Keynesian economics; Market economy; Agriculture","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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009847781,0.000275692,0.0006555864,0.0004096582,0.00071097,0.00002473989,0.0007597742,0.0005958384,0.001187514],"category_scores_gemma":[0.003700807,0.0001439968,0.0003131253,0.0003136416,0.0005166181,0.00008293852,0.0007335095,0.002653231,0.0002269308],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003834157,"about_ca_system_score_gemma":0.009864357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03556585,"about_ca_topic_score_gemma":0.001264035,"domain_scores_codex":[0.9940495,0.001615615,0.001198841,0.0005684611,0.002005354,0.0005621849],"domain_scores_gemma":[0.9922001,0.003668359,0.0007117621,0.0007088144,0.00255726,0.0001536968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003775293,0.0001248357,0.07574661,0.00497399,0.0006861736,0.000007425788,0.001890552,0.0001323669,0.00002276675,0.09184222,0.8225124,0.001683072],"study_design_scores_gemma":[0.00065961,0.0008001826,0.6999591,0.008368275,0.0000945158,0.000019073,0.002454977,0.000206606,0.00005821132,0.2231216,0.06387343,0.0003843665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3011924,0.004692607,6.323086e-8,0.01086135,0.002017081,0.002713787,0.001357219,0.00002737103,0.6771381],"genre_scores_gemma":[0.9878597,0.003999874,0.000008292966,0.00005367563,0.0008635942,0.0001747898,0.0001264276,0.00004670835,0.006866974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.758639,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5424743358534273,"score_gpt":0.669344991890096,"score_spread":0.1268706560366687,"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."}}