{"id":"W1839687636","doi":"10.2139/ssrn.2185198","title":"Unemployment Insurance and Consumer Credit","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Unemployment; Business; Actuarial science; Economics; Labour economics; 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":[0.0005734579,0.0001255286,0.0003376305,0.0009105019,0.0008752638,0.00205439,0.0002445672,0.001959866,0.01616166],"category_scores_gemma":[0.00367668,0.0001488277,0.0002422594,0.001189908,0.0009832259,0.001267952,0.0006735281,0.001514879,0.0004152586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630116,"about_ca_system_score_gemma":0.001320143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03088562,"about_ca_topic_score_gemma":0.05473907,"domain_scores_codex":[0.9997724,0.00005707993,0.000009794754,0.00002516539,0.00003975818,0.00009578081],"domain_scores_gemma":[0.9970871,0.001362737,0.0007561036,0.0000731998,0.000166761,0.0005541712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006485545,0.000537061,0.504459,0.0002166974,0.0001283096,0.001163987,0.002071298,0.00353093,0.0002850373,0.4010068,0.03666077,0.04929165],"study_design_scores_gemma":[0.0001939346,0.0001794108,0.6234676,0.0004851353,0.000176484,0.000686463,0.005239939,0.01464502,0.0002812843,0.2954291,0.05914294,0.00007263634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488197,0.02415603,0.001123213,0.05671365,0.0002695928,0.00002899988,0.001150886,0.00002776143,0.06771009],"genre_scores_gemma":[0.988367,0.002589236,0.00004343196,0.0004676526,0.0002795016,0.00000509694,0.0001615747,0.000002844943,0.008083654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03088562,"threshold_uncertainty_score":0.06141174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878876050108131,"score_gpt":0.2204779857967225,"score_spread":0.2016892252956412,"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."}}