{"id":"W2541810447","doi":"10.5539/ass.v12n12p120","title":"Research on Social Security for Migrant Workers in China","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Social security; Migrant workers; Order (exchange); Financial crisis; Economic growth; Business; Political science; Economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001886292,0.0002637936,0.0002603693,0.002849456,0.00391421,0.001866198,0.0004962682,0.0005364078,0.003138709],"category_scores_gemma":[0.002320033,0.0001375085,0.0003310674,0.003648262,0.001480624,0.001645281,0.001188019,0.0006020373,0.000118373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0045672,"about_ca_system_score_gemma":0.009192439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07582574,"about_ca_topic_score_gemma":0.111756,"domain_scores_codex":[0.9993243,0.0001599528,0.00004901849,0.00006024061,0.000129857,0.0002767389],"domain_scores_gemma":[0.9983803,0.0003637137,0.0004533519,0.00005994101,0.0002597213,0.0004829704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008981926,0.0003384175,0.772038,0.0006808027,0.00008192773,0.000862995,0.1395468,0.0001995042,0.0009700638,0.01755545,0.002930328,0.06470589],"study_design_scores_gemma":[0.000008998365,0.0001014742,0.8967325,0.0004159391,0.00003530364,0.00009367984,0.09050149,0.0001658223,0.0001934208,0.0007978681,0.01093873,0.00001468798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851504,0.003024254,0.00002910119,0.002778027,0.00003240008,0.00001554723,0.00004884555,0.000001376396,0.008919936],"genre_scores_gemma":[0.9948334,0.003446636,0.00003574701,0.0002324724,0.00002582507,0.00001451321,0.00004796745,8.668792e-7,0.001362486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07582574,"threshold_uncertainty_score":0.1507688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387155663219996,"score_gpt":0.519762730304817,"score_spread":0.3810471639828174,"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."}}