{"id":"W4239997264","doi":"10.1177/0958928720918973","title":"Targeting within universalism","year":2020,"lang":"en","type":"article","venue":"Journal of European Social Policy","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Universalism; Political science; Welfare; Population; Sociology; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001766,0.000102178,0.0002410254,0.00008364092,0.001046663,0.00006535735,0.0003665727,0.00005445704,0.00001948741],"category_scores_gemma":[0.00165666,0.00008625951,0.0002035681,0.0005307451,0.0004114122,0.000258003,0.00008214649,0.0003204407,0.00005017477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060254,"about_ca_system_score_gemma":0.0003929495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938427,"about_ca_topic_score_gemma":0.00001580017,"domain_scores_codex":[0.9981706,0.0006375759,0.0004044564,0.00008422876,0.0004070454,0.0002961378],"domain_scores_gemma":[0.9989191,0.00004510618,0.0005423682,0.00002978462,0.0002213815,0.0002422815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006987978,0.00004226819,0.0002594588,0.00001631609,0.0001739992,0.0001344846,0.665892,0.00002810497,0.0007349688,0.2160428,0.1118006,0.004805094],"study_design_scores_gemma":[0.001597609,0.0002829873,0.005226017,0.00004343775,0.0001154163,0.000005943237,0.2308291,0.000008983007,0.00007591933,0.01075614,0.7505274,0.0005309616],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09849411,0.0002403301,0.0001183837,0.2941541,0.0009621645,0.0001555178,0.00001222149,0.0001175433,0.6057457],"genre_scores_gemma":[0.9227954,0.0002982478,0.0001210258,0.005551984,0.07050434,1.141522e-7,4.134469e-7,0.00002430251,0.0007042462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8243012,"threshold_uncertainty_score":0.8050194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382739620325934,"score_gpt":0.336557945324404,"score_spread":0.2827305491211446,"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."}}