{"id":"W1493169350","doi":"","title":"Firms, Industries, and Unemployment Insurance: An Analysis using Employer-Employee Data from Canada","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unemployment; Subsidy; Labour economics; Business; Social insurance; Economics; Market economy; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001363484,0.0004404179,0.0009578464,0.00485757,0.002812886,0.002153407,0.001616081,0.0006459419,0.003016987],"category_scores_gemma":[0.006243966,0.000475049,0.0009466102,0.01562501,0.0006569327,0.0004266253,0.001623779,0.0008999252,0.0004906396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0259145,"about_ca_system_score_gemma":0.03845626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969927,"about_ca_topic_score_gemma":0.997115,"domain_scores_codex":[0.9977872,0.0002220735,0.0001395227,0.0002448315,0.000838069,0.0007681907],"domain_scores_gemma":[0.9925745,0.001520531,0.001245466,0.000317173,0.002925971,0.001416419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001455642,0.00008678842,0.9856051,0.0000861767,0.0002349611,0.0002130659,0.0007017802,0.00140024,0.0001695565,0.0004702089,0.00416531,0.006721245],"study_design_scores_gemma":[0.00001608076,0.00002128303,0.9926443,0.00003658384,0.00005881261,0.00004844151,0.001278858,0.002640084,0.0000715491,0.00003832711,0.003124368,0.00002127707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641808,0.0008545911,0.0002453928,0.0003903364,0.000008934019,0.00007850253,0.0323172,0.00002716724,0.001896947],"genre_scores_gemma":[0.9602993,0.0009412795,0.0006773984,0.0001172737,0.000009099106,0.00006047065,0.03546649,0.00001681835,0.002411896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0259145,"threshold_uncertainty_score":0.1880237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191930037647915,"score_gpt":0.3171392277507227,"score_spread":0.1979462239859312,"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."}}