{"id":"W2137294349","doi":"","title":"Entre o Trabalho e a Garantia de Renda: A Trajetória Recente da Proteção Social no Canadá","year":2009,"lang":"pt","type":"preprint","venue":"Econstor (Econstor)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare economics; Social security; Political science; Population; Economics; Sociology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003571098,0.0003141605,0.0005782791,0.002977359,0.02059989,0.01282811,0.002023645,0.001873107,0.00945059],"category_scores_gemma":[0.007312931,0.000441376,0.0003808384,0.008910217,0.01053306,0.002280218,0.004924854,0.00379136,0.0005902897],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1493414,"about_ca_system_score_gemma":0.3104928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994111,"about_ca_topic_score_gemma":0.9974477,"domain_scores_codex":[0.994499,0.0005258752,0.0001116341,0.0003802047,0.002132587,0.002350663],"domain_scores_gemma":[0.9899621,0.001178246,0.0008143969,0.0002607822,0.003091095,0.004693416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003407558,0.0002879979,0.0744236,0.001881392,0.0001041014,0.002146266,0.1833973,0.0006412071,0.001385743,0.1745844,0.1981002,0.362707],"study_design_scores_gemma":[0.00000997033,0.00002796371,0.09964097,0.000851617,0.00003039682,0.0002393541,0.1074969,0.0002583946,0.0003108925,0.001748012,0.7893055,0.00008000158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4380063,0.120114,0.001013629,0.2375576,0.003415259,0.0001220589,0.002358245,0.0001548302,0.1972581],"genre_scores_gemma":[0.8896968,0.04685524,0.0005517084,0.007453268,0.0005063644,0.00002936985,0.0004030323,0.00008701824,0.05441726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1493414,"threshold_uncertainty_score":0.9866434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082950722020881,"score_gpt":0.3600556229066443,"score_spread":0.2517605507045562,"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."}}