{"id":"W108372588","doi":"10.7202/028722ar","title":"Unemployment Insurance, Unemployment Duration, and Excess Supply of Labour","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Duration (music); Labour economics; Economics; Economic growth; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005338286,0.0001576213,0.0003013185,0.001967656,0.001374685,0.001254824,0.0005683984,0.0004827329,0.002704262],"category_scores_gemma":[0.003748014,0.0001930287,0.0004084761,0.002601852,0.0007628811,0.0004041699,0.000934922,0.0008024647,0.0002587894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007566492,"about_ca_system_score_gemma":0.007362065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9323799,"about_ca_topic_score_gemma":0.9734339,"domain_scores_codex":[0.9994636,0.00003338473,0.0000301566,0.00004160269,0.0001744821,0.0002568709],"domain_scores_gemma":[0.99562,0.0006377812,0.001615677,0.0001041522,0.0007164321,0.001305978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009971682,0.0000219994,0.9967662,0.00001493166,0.00003604763,0.0000636609,0.0003225797,0.0002241432,0.0001056686,0.0001420279,0.0001937173,0.002009282],"study_design_scores_gemma":[0.000001713532,0.000008880046,0.9990513,0.00001247288,0.00000814412,0.00002535022,0.0003697438,0.0001083877,0.00001615425,0.00001870687,0.0003763198,0.000002880588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996624,0.00098434,0.00002344421,0.0002275678,0.000006814377,0.000002935731,0.0009729092,0.000002248161,0.001155902],"genre_scores_gemma":[0.997835,0.0005520607,0.00001890572,0.00002620213,0.0000120881,0.000002042891,0.0007265255,0.000001772601,0.0008253854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9323799,"threshold_uncertainty_score":0.1360366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156116861073216,"score_gpt":0.3465823727177041,"score_spread":0.305021204106972,"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."}}