{"id":"W4413112900","doi":"10.1016/j.molmed.2025.07.005","title":"Women in science: bridging gaps in basic sciences","year":2025,"lang":"en","type":"article","venue":"Trends in Molecular Medicine","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; SickKids Foundation; Hospital for Sick Children","funders":"Bill and Melinda Gates Foundation","keywords":"Mentorship; Bridging (networking); Translational science; Engineering ethics; Capacity building; Sociology; Political science; Medical education; Medicine; Social science; Engineering; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02860185,0.0005959217,0.0014703,0.004076006,0.009506721,0.01457052,0.001915836,0.005899444,0.02459339],"category_scores_gemma":[0.03966264,0.0004857426,0.0006621876,0.004087852,0.01329578,0.01743476,0.0220798,0.01090776,0.001858684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006994231,"about_ca_system_score_gemma":0.03225408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885739,"about_ca_topic_score_gemma":0.01849277,"domain_scores_codex":[0.9840764,0.008291693,0.0006060905,0.001342818,0.002080463,0.003602416],"domain_scores_gemma":[0.9407176,0.02593466,0.003293941,0.001367859,0.003393618,0.02529236],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000486831,0.0004375962,0.04091535,0.002490697,0.000198208,0.001244846,0.1391296,0.0001900318,0.0008391709,0.2614245,0.2131872,0.339456],"study_design_scores_gemma":[0.0001388833,0.0002488254,0.01481144,0.003932383,0.0000977424,0.0005387858,0.1378606,0.0001669042,0.0002594273,0.1953757,0.6464909,0.00007828644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02193231,0.05397215,0.001276944,0.894661,0.006593938,0.00002212801,0.0001801125,0.0000430023,0.02131849],"genre_scores_gemma":[0.6135365,0.09593876,0.003381523,0.2521608,0.01811417,0.0002200239,0.0003638289,0.0001863721,0.01609794],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9713982,"threshold_uncertainty_score":0.1512629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220522245359148,"score_gpt":0.3418569951035998,"score_spread":0.3196517726500084,"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."}}