{"id":"W4248489017","doi":"10.4000/rechercheformation.4261","title":"Former contre les discriminations (ethno)culturelles","year":2018,"lang":"fr","type":"paratext","venue":"Recherche & formation","topic":"Educational Practices and Policies","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002496119,0.0003882291,0.0003641836,0.0001589937,0.001702194,0.0003624075,0.0004910521,0.00155586,0.009505994],"category_scores_gemma":[0.001667033,0.000347117,0.0002493522,0.0007082292,0.0007258363,0.002432266,0.00006485706,0.001294949,0.01870394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112444,"about_ca_system_score_gemma":0.0007532601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118669,"about_ca_topic_score_gemma":0.01035686,"domain_scores_codex":[0.9959546,0.001925355,0.0006644379,0.0003018258,0.0006032208,0.0005505455],"domain_scores_gemma":[0.9957024,0.00207116,0.0008671325,0.0002790433,0.0008894288,0.0001907799],"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":[0.00002046412,0.0001890581,0.00004640771,0.000295677,0.00009599375,1.350481e-7,0.1614335,0.00002658087,0.00007332991,0.1035475,0.6919743,0.04229706],"study_design_scores_gemma":[0.0001659179,0.00007517543,0.0003198126,0.0002855629,0.0001988881,0.000005934317,0.05322962,0.0003498187,0.0002114693,0.006968911,0.9377758,0.0004130927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01432751,0.006352963,0.002024325,0.06525843,0.00394488,0.0008306208,0.0002383788,0.00006936079,0.9069535],"genre_scores_gemma":[0.05819917,0.02266691,0.00427817,0.0008155987,0.005280526,0.000171831,0.00184145,0.00005211378,0.9066942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2458015,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3738444145435171,"score_gpt":0.4860679424649754,"score_spread":0.1122235279214583,"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."}}