{"id":"W2393309603","doi":"","title":"The Enlightenment of Establishing Chinese Unemployment Insurance System from Experience abroad——Taking Canada and Britain for Example","year":2010,"lang":"en","type":"article","venue":"Northern Economy and Trade","topic":"Safety and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Enlightenment; Humanity; Payment; Social security; Service (business); Population; Service system; Business; Economic growth; Security system; Labour economics; Economics; Actuarial science; Political science; Finance; Marketing; Sociology; Law; Market economy; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002388543,0.0001492377,0.0001841238,0.00002908528,0.0004149277,0.0002291143,0.0001920828,0.00003442794,0.000007651064],"category_scores_gemma":[0.00002906538,0.0001064117,0.00003271598,0.00006772311,0.00006928631,0.0004419297,0.00008419659,0.00009110323,5.088211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002787343,"about_ca_system_score_gemma":0.00002670963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5069739,"about_ca_topic_score_gemma":0.800433,"domain_scores_codex":[0.9991313,0.000006029514,0.0002886826,0.0002655348,0.00009568282,0.0002127783],"domain_scores_gemma":[0.9992822,0.0001927194,0.0002770482,0.0002057428,0.00002282747,0.00001946894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004614816,0.00002788625,0.9356673,0.0002022103,0.00006634386,0.000004419812,0.0006597724,0.00006016205,0.00006554085,0.01090795,0.00009206774,0.05220013],"study_design_scores_gemma":[0.0009413038,0.00001037074,0.6673966,0.00007178535,0.00003860925,0.000002745275,0.003451316,0.004391239,0.00008448747,0.001378249,0.3219409,0.0002923571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966743,0.0003920685,0.0001771529,0.0007363298,0.0004272277,0.0003757485,0.0000172053,0.0000237951,0.001176153],"genre_scores_gemma":[0.9991091,0.0000279984,0.0001288422,0.000263471,0.0003454314,0.00007664948,0.000011313,0.00001451589,0.00002271254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3218488,"threshold_uncertainty_score":0.4963092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008133876025053126,"score_gpt":0.1967440037062053,"score_spread":0.1886101276811521,"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."}}