{"id":"W4392733892","doi":"10.21710/rch.v34i1.720","title":"A realidade previdenciária brasileira após a “reforma” da previdência em 2019","year":2023,"lang":"pt","type":"article","venue":"Revista Científica Hermes - FIPEN","topic":"Social and Political Issues","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.002781611,0.0002587511,0.000397934,0.001755609,0.004357598,0.004942922,0.0006450185,0.001255265,0.01125886],"category_scores_gemma":[0.007670396,0.0002854515,0.0003452507,0.003077085,0.003143202,0.001544268,0.00243614,0.001708114,0.0005545269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0127533,"about_ca_system_score_gemma":0.01633024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.40272,"about_ca_topic_score_gemma":0.5841679,"domain_scores_codex":[0.9969016,0.0006309059,0.0001328705,0.0005067925,0.001076735,0.0007511947],"domain_scores_gemma":[0.9966306,0.0007030035,0.0004838347,0.0004100769,0.001259475,0.000513029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003181014,0.0001065317,0.1210207,0.0008325244,0.0001236755,0.001703668,0.09464015,0.001020453,0.002802531,0.5392067,0.06940169,0.1688233],"study_design_scores_gemma":[0.00003789454,0.00007645065,0.2203423,0.0005328384,0.00006462734,0.0003070436,0.02641767,0.0005017619,0.001012934,0.01502416,0.7356124,0.00006995497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5221308,0.004305905,0.002246205,0.03361579,0.000503925,0.0001388144,0.003508068,0.0002474172,0.4333031],"genre_scores_gemma":[0.9617342,0.001195003,0.001131111,0.001615776,0.0000768782,0.00005220202,0.0004835542,0.0000403296,0.03367092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.40272,"threshold_uncertainty_score":0.8007517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07828774051477456,"score_gpt":0.3772412065936231,"score_spread":0.2989534660788485,"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."}}