{"id":"W4391741729","doi":"10.47611/jsrhs.v12i3.4570","title":"“The Forgotten People:” Analyzing the Invisible, Intersectional Discrimination Against Metis Women","year":2023,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; World Wide Web","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009889276,0.00004680202,0.00008642007,0.0003143733,0.001943693,0.000446948,0.0005695274,0.00003235826,0.00002887351],"category_scores_gemma":[0.0006517707,0.00002515581,0.00008245671,0.001102883,0.0002342136,0.0001820573,0.0001705539,0.0003915369,0.00002275912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991793,"about_ca_system_score_gemma":0.0002524428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003930228,"about_ca_topic_score_gemma":0.001036623,"domain_scores_codex":[0.9966268,0.0006998152,0.0002855968,0.00008504243,0.001867476,0.0004352457],"domain_scores_gemma":[0.9979904,0.0009247247,0.0001306683,0.0001048218,0.0007355817,0.0001137938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008236343,0.0002347172,0.2944734,0.0000346485,0.0005758376,0.0000452025,0.5009675,0.0007177817,0.0009135905,0.06482002,0.0881951,0.04893988],"study_design_scores_gemma":[0.0001908896,0.0000820721,0.5629982,0.0000171926,0.000007823911,0.000002363381,0.4079609,0.0001145946,0.00002690915,0.009291898,0.01926509,0.00004209636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96536,0.0001274903,0.00007159425,0.02528008,0.0005629138,0.0001692485,9.939664e-7,0.000007687571,0.008419964],"genre_scores_gemma":[0.9932078,0.001999014,0.000008361161,0.00003306955,0.0006298087,0.00001720735,0.000001008884,0.000005630944,0.00409814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2685249,"threshold_uncertainty_score":0.9993556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865322244227818,"score_gpt":0.4968499511914145,"score_spread":0.3103177267686326,"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."}}