{"id":"W2132513213","doi":"10.7202/039390ar","title":"Reconfiguration de l’Estado de Bienestar et discriminations en quartier stigmatisé","year":2010,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001244061,0.0002492373,0.000264799,0.0001606895,0.001215105,0.00003848771,0.0002324763,0.0004094146,0.003277076],"category_scores_gemma":[0.0007228141,0.0002586808,0.0001087441,0.0002409161,0.0001918051,0.0004537136,0.0001852861,0.001024359,0.0004641516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941897,"about_ca_system_score_gemma":0.0003203957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003276829,"about_ca_topic_score_gemma":0.007527356,"domain_scores_codex":[0.9975461,0.0008112334,0.0003714036,0.0003043386,0.0002354387,0.0007314556],"domain_scores_gemma":[0.9982288,0.0007580114,0.0001924541,0.0003048026,0.0002518844,0.0002640233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006811599,0.0003908649,0.3088482,0.0004890213,0.0001748872,0.00005108935,0.2494323,0.00002743301,0.002885815,0.2396389,0.1825422,0.01545115],"study_design_scores_gemma":[0.001103249,0.0001621441,0.7173877,0.0003129606,0.0003093011,0.000008401985,0.01365027,0.0005810452,0.0002182046,0.006674946,0.2591933,0.00039846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7583073,0.001190051,0.003738492,0.2022095,0.003508446,0.0007602953,0.0004064668,0.0001716709,0.02970781],"genre_scores_gemma":[0.9239878,0.0007342296,0.002244442,0.00211547,0.0007686773,0.00005130089,0.0001929865,0.00003900622,0.06986608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4085395,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694590083870495,"score_gpt":0.3378380725172451,"score_spread":0.3108921716785401,"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."}}