{"id":"W7096283617","doi":"","title":"Labor Supply Responses to Changes in Wealth and Credit","year":2009,"lang":"en","type":"article","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Market liquidity; Stock (firearms); Financial market; Stock market; National wealth; Interest rate","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":[0.0004231455,0.0001409812,0.0001936756,0.0005038953,0.0003982382,0.001043089,0.0002147411,0.0007126338,0.01484353],"category_scores_gemma":[0.002975004,0.0002287508,0.0001515015,0.0003890312,0.0003247518,0.000464364,0.0008701957,0.0004899003,0.0009474962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434164,"about_ca_system_score_gemma":0.0002737692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006406148,"about_ca_topic_score_gemma":0.008680773,"domain_scores_codex":[0.9998356,0.00003975599,0.000008217033,0.00002267904,0.00002173393,0.00007204244],"domain_scores_gemma":[0.9987677,0.0003245659,0.0004392105,0.00005014461,0.0001162866,0.0003020317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002622195,0.001315292,0.8917449,0.0001589734,0.0001510273,0.001081916,0.005179034,0.008121686,0.01134609,0.01132394,0.009651273,0.05730378],"study_design_scores_gemma":[0.00005057923,0.0002170798,0.9804714,0.00003592924,0.00001477791,0.00007633223,0.005710669,0.002247978,0.0004428529,0.005740748,0.004975885,0.00001582924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881798,0.0003681652,0.00015549,0.001710445,0.00002181089,0.00001382755,0.0004899496,0.000006783441,0.009053792],"genre_scores_gemma":[0.9958102,0.0002126517,0.00003531616,0.0001533655,0.00002093078,0.00001299442,0.0002053674,0.000002324179,0.003547037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484353,"threshold_uncertainty_score":0.04965651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298328962455571,"score_gpt":0.2500554392195238,"score_spread":0.2370721495949681,"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."}}