{"id":"W4224014369","doi":"10.21203/rs.3.rs-1540839/v1","title":"Integrating gender in medical curriculum of Bangladesh: exploring perceptions, prospects and challenges","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministry of Health and Family Welfare","keywords":"Thematic analysis; Perception; Curriculum; Descriptive statistics; Psychology; Medical education; Health care; Government (linguistics); Multivariate analysis of variance; Multivariate analysis; Family medicine; Medicine; Nursing; Qualitative research; Political science; Pedagogy","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":[],"consensus_categories":[],"category_scores_codex":[0.002261991,0.0002059803,0.0001891477,0.0005245311,0.00164596,0.001339503,0.0002925461,0.0005074837,0.003381285],"category_scores_gemma":[0.003298698,0.0001700525,0.000172765,0.0005521623,0.00110018,0.0007077604,0.001338019,0.0006514302,0.0002463341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959075,"about_ca_system_score_gemma":0.003563053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007857458,"about_ca_topic_score_gemma":0.01248395,"domain_scores_codex":[0.9984345,0.0007170849,0.00007913873,0.00007304145,0.0003749004,0.000321265],"domain_scores_gemma":[0.9978666,0.000526201,0.0004111889,0.0000310492,0.000223814,0.000941157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002185149,0.0005928923,0.5876222,0.0008981841,0.0000339627,0.002371924,0.2663576,0.0002597013,0.009157163,0.005511939,0.004426867,0.122549],"study_design_scores_gemma":[0.00001409944,0.0008653736,0.4842722,0.0006559063,0.00002282442,0.001394238,0.4639616,0.0002904987,0.0008682479,0.0009201902,0.04668405,0.00005074954],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898435,0.001071751,0.0001509008,0.003098417,0.0000539733,0.00003214293,0.00004672728,0.000002429601,0.005700127],"genre_scores_gemma":[0.9970753,0.00107974,0.0001289187,0.0004032432,0.00002238532,0.00001586255,0.00001653817,0.00000143614,0.001256565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007857458,"threshold_uncertainty_score":0.01562345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3791469711984574,"score_gpt":0.4816609046317472,"score_spread":0.1025139334332898,"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."}}