{"id":"W2914088890","doi":"10.1016/s0140-6736(18)32092-0","title":"De-patriarchalising and levelling science for French-speaking women","year":2019,"lang":"en","type":"letter","venue":"The Lancet","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; McGill University; Institut National de Santé Publique du Québec","funders":"","keywords":"Levelling; Medicine; Geography; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01422134,0.0008346173,0.001575928,0.00123275,0.01442187,0.01041024,0.001879529,0.06532883,0.01315286],"category_scores_gemma":[0.03402189,0.000582082,0.0008538646,0.001218334,0.02355727,0.007612355,0.005595322,0.03409,0.002418691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01855216,"about_ca_system_score_gemma":0.01979781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0529565,"about_ca_topic_score_gemma":0.08264724,"domain_scores_codex":[0.9908615,0.00428025,0.0004235243,0.0008129756,0.001018489,0.002603286],"domain_scores_gemma":[0.9623863,0.02749495,0.001621195,0.00113053,0.002059995,0.005307051],"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":[0.0002046211,0.0000561443,0.0007732061,0.0004742968,0.00004950697,0.002014978,0.01195267,0.00004495842,0.0003824413,0.1519771,0.8087633,0.02330672],"study_design_scores_gemma":[0.00008654503,0.00007354689,0.001207636,0.0005697077,0.00003028774,0.0007786094,0.008188467,0.00004877383,0.0001948187,0.05376573,0.9350089,0.00004702416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007026393,0.01018417,0.00003655282,0.9795339,0.005084515,0.000003317565,0.0000178499,0.00000572904,0.00443132],"genre_scores_gemma":[0.02757485,0.006021808,0.00009604415,0.926881,0.02142192,0.00003328101,0.00001617543,0.00002355469,0.01793143],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9855781,"threshold_uncertainty_score":0.1346059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128124189271658,"score_gpt":0.345190328856157,"score_spread":0.2323779099289913,"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."}}