{"id":"W4410705251","doi":"10.29173/cais1925","title":"Black Women In STEM","year":2025,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001963621,0.000203617,0.0004074886,0.0007779377,0.008244134,0.002191895,0.0004380197,0.001223962,0.02006048],"category_scores_gemma":[0.003547722,0.0002313637,0.0002715486,0.0009541557,0.002259055,0.002715158,0.003621966,0.001760156,0.001600008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347062,"about_ca_system_score_gemma":0.002808301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02698744,"about_ca_topic_score_gemma":0.04932439,"domain_scores_codex":[0.9984742,0.0005553009,0.00003463941,0.0001636903,0.0002056905,0.0005664551],"domain_scores_gemma":[0.9985513,0.0003198858,0.0002972969,0.00005362913,0.0001927664,0.0005851251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002289434,0.0002332205,0.1814218,0.0006545166,0.00004719369,0.001765925,0.6081942,0.00006274488,0.003063103,0.02024844,0.03918957,0.1448902],"study_design_scores_gemma":[0.00001301309,0.0001850941,0.1020859,0.001177527,0.00004384964,0.001005136,0.7322316,0.00007078564,0.0003843987,0.003875695,0.1588811,0.00004600042],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8974357,0.008156314,0.0005709637,0.04884918,0.0008751124,0.00005343273,0.0002655413,0.00001985824,0.04377393],"genre_scores_gemma":[0.9593248,0.0062853,0.0002854084,0.01455418,0.0002007524,0.00007271201,0.00009095706,0.00002367169,0.01916224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9917558,"threshold_uncertainty_score":0.06710899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695231310051232,"score_gpt":0.2556017362374338,"score_spread":0.2286494231369215,"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."}}