{"id":"W4408220060","doi":"10.1080/13613324.2025.2474942","title":"Routes to STEM: toward making science education more accessible and inclusive","year":2025,"lang":"en","type":"article","venue":"Race Ethnicity and Education","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sociology; Science education; Higher education; Pedagogy; Social science; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0006007364,0.00005861733,0.00007223008,0.0002034003,0.001116498,0.0002355924,0.0001670374,0.00004796398,0.0000166342],"category_scores_gemma":[0.0002407592,0.00006297863,0.00001023021,0.0007681299,0.0002376749,0.0006118588,0.0001754727,0.00006431046,0.000004449844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770129,"about_ca_system_score_gemma":0.003631408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708301,"about_ca_topic_score_gemma":0.001054757,"domain_scores_codex":[0.9992936,0.00003927208,0.00008105387,0.0002269296,0.0002055447,0.0001536294],"domain_scores_gemma":[0.9994866,0.00005693389,0.00004160076,0.00007696063,0.0002434288,0.0000945061],"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":[0.00002302362,0.0001272397,0.1835186,0.00008359695,0.000007616487,1.289626e-7,0.2496454,0.000002839047,0.0005315338,0.04929025,0.01237084,0.5043988],"study_design_scores_gemma":[0.00009300534,0.0000112433,0.7440801,0.0001889434,0.0000261708,4.566311e-7,0.2143662,0.00001370055,0.0009165287,0.005428141,0.03468759,0.0001879857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471203,0.0005785724,0.000155558,0.02073102,0.0009027508,0.0002428301,9.768909e-7,0.00002787044,0.03024011],"genre_scores_gemma":[0.990849,0.0001523051,0.0006663169,0.00154244,0.00009232342,0.00001067609,0.000002092504,0.000001590496,0.006683281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5605614,"threshold_uncertainty_score":0.8587312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03515473627073919,"score_gpt":0.3902507662187709,"score_spread":0.3550960299480317,"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."}}