{"id":"W6948110878","doi":"10.4224/40003513","title":"Rapport annuel sur l’équité en matière d’emploi 2022-2023","year":2023,"lang":"fr","type":"report","venue":"NRC Digital Repository","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ile de france; Context (archaeology); Information scientist","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005404557,0.001037847,0.001051991,0.0001741269,0.0003325072,0.0004757011,0.0008396031,0.001360187,0.0000279888],"category_scores_gemma":[0.0008341572,0.001109244,0.0009352992,0.0002879159,0.0003903809,0.00001126494,0.00139152,0.000563058,0.0004113683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327847,"about_ca_system_score_gemma":0.002329419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004144495,"about_ca_topic_score_gemma":0.0001704861,"domain_scores_codex":[0.9947008,0.0001042877,0.001325135,0.001634605,0.001183213,0.001051939],"domain_scores_gemma":[0.996136,0.0001308906,0.0006696918,0.00139487,0.001304143,0.0003644604],"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":[0.0001584277,0.0005843546,0.0416124,0.001494776,0.003878942,0.001226264,0.000384154,0.00008051138,0.1704652,0.00005452818,0.6596892,0.1203713],"study_design_scores_gemma":[0.0004030289,0.0005323507,0.01700965,0.0002190565,0.0002660246,0.0006334534,0.0003365787,0.00001088268,0.008458032,0.000114207,0.9708307,0.001186031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2589917,0.03501092,0.00003241225,0.0002357506,0.0140978,0.0009268842,0.001799098,0.00006732739,0.6888381],"genre_scores_gemma":[0.1954093,0.008108289,0.00005287517,0.00007753517,0.00723613,0.0001600129,0.0009387411,0.0002824484,0.7877347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3111415,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814894273552573,"score_gpt":0.2524586186190244,"score_spread":0.2243096758834987,"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."}}