{"id":"W3124324777","doi":"","title":"The Effect of Economic Insecurity on Mental Health: Recent Evidence from Australian Panel Data","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microdata (statistics); Endogeneity; Unobservable; Mental health; Demographic economics; Shock (circulatory); Instrumental variable; Economics; Panel data; Index (typography); Volatility (finance); Population; Actuarial science; Public economics; Econometrics; Environmental health; Medicine; Psychiatry","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":[0.005443045,0.0003797449,0.0006052923,0.002627022,0.0005489536,0.001154713,0.0007118016,0.0006729134,0.002457481],"category_scores_gemma":[0.02246882,0.0005643666,0.001353492,0.007088011,0.0005956102,0.001018775,0.002249169,0.001427461,0.0004144635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009867676,"about_ca_system_score_gemma":0.0008802849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1664254,"about_ca_topic_score_gemma":0.14876,"domain_scores_codex":[0.9973238,0.001376021,0.0002470159,0.0002564791,0.000567639,0.000229097],"domain_scores_gemma":[0.9732944,0.01117984,0.009360838,0.001991377,0.003250805,0.0009227755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000118893,0.00007622413,0.9700009,0.0004390586,0.001058543,0.0001098392,0.001379541,0.001196083,0.00006940604,0.0005200127,0.002422413,0.02260907],"study_design_scores_gemma":[0.000005015126,0.0000295027,0.9974689,0.0001045899,0.0001556835,0.00002354075,0.0002556339,0.0004107521,0.00002456283,0.0001445118,0.001369094,0.000008106776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668446,0.01152805,0.001798151,0.004562816,0.0001176559,0.00007384335,0.00929502,0.00001928959,0.005760574],"genre_scores_gemma":[0.9754042,0.01428737,0.0009302423,0.0006951238,0.000124418,0.000081874,0.007297508,0.00001018319,0.001168996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664254,"threshold_uncertainty_score":0.3309134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2375678498684058,"score_gpt":0.4965264849497448,"score_spread":0.2589586350813389,"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."}}