{"id":"W4412372518","doi":"10.1002/nse2.70020","title":"Sustaining socially just and accurate life sciences teaching for sex, gender, and reproduction?","year":2025,"lang":"en","type":"article","venue":"Natural sciences education","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Science Foundation","keywords":"Reproduction; Geography; Sociology; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001710261,0.00007678069,0.0001110168,0.0001640004,0.001344306,0.00009335492,0.0000756529,0.00005213418,0.000003016316],"category_scores_gemma":[0.001504742,0.00006001061,0.00001825095,0.0003661259,0.0003351393,0.0002427082,0.00003180332,0.0001577814,2.489635e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005658798,"about_ca_system_score_gemma":0.001952965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001256226,"about_ca_topic_score_gemma":0.00001245797,"domain_scores_codex":[0.9988987,0.00004993531,0.0001562463,0.0005042854,0.000182099,0.0002087705],"domain_scores_gemma":[0.9994709,0.0001725424,0.00006306203,0.000090533,0.0001278609,0.00007507947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004211498,0.00006546138,0.09706431,0.0005205241,0.0000215503,2.139426e-7,0.01131863,0.00001200141,0.0007224511,0.03697579,0.009011664,0.8442453],"study_design_scores_gemma":[0.0010087,0.0005596533,0.5075451,0.0002813189,0.0001385722,0.00006848535,0.4029754,0.0060984,0.0008097356,0.06069306,0.01939297,0.0004286605],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482337,0.01394964,0.0001105447,0.03080124,0.001840869,0.0005505913,8.752697e-7,0.00004344154,0.004469108],"genre_scores_gemma":[0.9909416,0.0001198176,0.005115244,0.001911789,0.0004560596,0.00002409413,0.00000477906,0.000002535891,0.001424018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8438166,"threshold_uncertainty_score":0.9999558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09271024452954002,"score_gpt":0.461635987625252,"score_spread":0.368925743095712,"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."}}