{"id":"W3122384070","doi":"10.1111/0008-4085.00038","title":"Social assistance and labour supply","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Labour supply; Labour economics; Economics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008278784,0.0001570992,0.000228256,0.002058901,0.0005623568,0.0009837179,0.000292706,0.000417886,0.02280284],"category_scores_gemma":[0.005335537,0.0001132847,0.0002284087,0.003326424,0.0004383996,0.0005564526,0.001228284,0.0003603727,0.001927921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499956,"about_ca_system_score_gemma":0.001216725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957962,"about_ca_topic_score_gemma":0.0360472,"domain_scores_codex":[0.9991865,0.0003093683,0.00005646022,0.00008931263,0.0001768228,0.0001815106],"domain_scores_gemma":[0.9965765,0.001075505,0.001497588,0.0001193003,0.0003890273,0.0003419934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001521385,0.00009277966,0.9037531,0.0001695416,0.00008614513,0.0002269614,0.001980391,0.002847932,0.00030819,0.01234096,0.01118996,0.066852],"study_design_scores_gemma":[0.00001813439,0.00008547447,0.9634703,0.0001335171,0.00001486711,0.0001043175,0.00161182,0.001488715,0.00007762185,0.002867441,0.03011558,0.00001221341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445723,0.002537118,0.001112962,0.004263983,0.00006150247,0.0000443878,0.01549488,0.00004522772,0.03186766],"genre_scores_gemma":[0.9805679,0.00103453,0.0003854609,0.0001576695,0.00009281102,0.00008031604,0.003349491,0.000008384061,0.01432347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02957962,"threshold_uncertainty_score":0.07628316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101984160565057,"score_gpt":0.2284583722419142,"score_spread":0.1182599561854085,"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."}}