{"id":"W4250378348","doi":"10.4000/edso.1374","title":"Éditorial","year":2015,"lang":"fr","type":"article","venue":"Éducation et socialisation","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00217062,0.0002126126,0.0002015357,0.00007881357,0.0004801983,0.0002667847,0.0002038771,0.0004250318,0.0006439596],"category_scores_gemma":[0.00198562,0.0002500375,0.0001164259,0.0003547118,0.0007374373,0.001386279,0.00002698308,0.0002070576,0.001075237],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008297861,"about_ca_system_score_gemma":0.006685367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238179,"about_ca_topic_score_gemma":0.007145558,"domain_scores_codex":[0.9962424,0.001586067,0.000475869,0.0003399416,0.0009198655,0.0004358507],"domain_scores_gemma":[0.9976232,0.000210589,0.0003844451,0.0002163696,0.001217546,0.0003478532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004030937,0.00009602057,0.0005452596,0.000008896831,0.00001826756,1.640107e-7,0.3211401,0.00007175635,0.00001787537,0.3348349,0.3423915,0.0008712704],"study_design_scores_gemma":[0.0004863084,0.000025253,0.004611387,0.00001862677,0.0000656302,8.840147e-7,0.09474888,0.0001112257,0.00006934552,0.0149865,0.8845933,0.0002826765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.219399,0.001108147,0.001762512,0.4729487,0.1786244,0.001117404,0.0001071376,0.000318867,0.1246138],"genre_scores_gemma":[0.7183272,0.0002816727,0.001138179,0.01284547,0.05785652,0.00007679418,0.0007725671,0.00005988946,0.2086417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5422018,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4087443828783391,"score_gpt":0.5000407033100196,"score_spread":0.09129632043168051,"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."}}