{"id":"W3135865404","doi":"10.3917/rs.059.0174","title":"Entretien avec Stéphanie Vermeersch, Chargée de recherche CNRS 1re classe (UMR CNRS Lavue) Marie-Hélène Bacqué, Professeure de sociologie (UMR CNRS Lavue)","year":2010,"lang":"fr","type":"article","venue":"Retraite et société","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Physics; Art","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.007908617,0.001193788,0.001176989,0.0001995874,0.001822203,0.0005569995,0.001770942,0.005176376,0.007403645],"category_scores_gemma":[0.006926366,0.001217247,0.0009036871,0.0009019781,0.004949377,0.001320501,0.0003885509,0.006000466,0.0006588993],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006736759,"about_ca_system_score_gemma":0.007175929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005578181,"about_ca_topic_score_gemma":0.009926495,"domain_scores_codex":[0.9863836,0.005814736,0.001310223,0.001574271,0.001446377,0.003470865],"domain_scores_gemma":[0.9921896,0.003527918,0.0008923158,0.001086017,0.0009608802,0.001343212],"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":[0.0001522685,0.0009803588,0.03286099,0.0006847883,0.0009194322,0.0001519143,0.6786249,0.00007564355,0.02246213,0.1230096,0.1213992,0.01867878],"study_design_scores_gemma":[0.003616176,0.0003713774,0.0954412,0.0004236501,0.0008856176,0.00007567836,0.1935208,0.00207365,0.00532878,0.02978286,0.6650016,0.003478626],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515356,0.002353677,0.0003431105,0.1193909,0.006910642,0.001880049,0.000407298,0.0006421672,0.01653664],"genre_scores_gemma":[0.7558795,0.007487275,0.01006555,0.02487906,0.005398828,0.0002183128,0.0005006075,0.0003205121,0.1952503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5436024,"threshold_uncertainty_score":0.9994773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3182103269624583,"score_gpt":0.4974614038759038,"score_spread":0.1792510769134454,"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."}}