{"id":"W4401313366","doi":"10.18260/1-2--47774","title":"Methodologies for Evaluating the Impact of STEM Outreach on Historically Marginalized Groups in Engineering: a Systematic Literature Review (Other, Diversity)","year":2024,"lang":"en","type":"article","venue":"","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Centre for Blood Research, University of British Columbia","keywords":"Outreach; Diversity (politics); Engineering ethics; Computer science; Sociology; Engineering; Political science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004086303,0.00009843666,0.0003190693,0.0001243048,0.0001349337,0.00005888825,0.0002741855,0.00005599901,0.00003720445],"category_scores_gemma":[0.0007772486,0.00005598548,0.000229138,0.0006086201,0.00002556286,0.0001054486,0.00009550977,0.00009089089,0.000003067001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066229,"about_ca_system_score_gemma":0.0001047976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004094666,"about_ca_topic_score_gemma":0.00006637559,"domain_scores_codex":[0.9987875,0.0003879064,0.0001965426,0.0001512013,0.0003176899,0.0001591605],"domain_scores_gemma":[0.9980004,0.001697696,0.00006004044,0.0001140826,0.00009666499,0.00003109815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0005898195,0.0002183162,0.01408514,0.3799129,0.001331455,0.00008308647,0.2871006,0.0004552569,0.0003538879,0.2632839,0.04003702,0.01254869],"study_design_scores_gemma":[0.006905643,0.004515822,0.0177275,0.8489267,0.003627244,0.00002686315,0.05098237,0.01664917,0.0001660131,0.02469012,0.02143993,0.004342584],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1207625,0.736322,0.04558458,0.009298732,0.004629252,0.02301368,0.0001626593,0.001531658,0.05869486],"genre_scores_gemma":[0.9378316,0.01583121,0.01823065,0.0005154272,0.0002326744,0.000306215,0.0000185851,0.00004564422,0.02698804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.817069,"threshold_uncertainty_score":0.2283022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2121020425449787,"score_gpt":0.4082121133969454,"score_spread":0.1961100708519667,"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."}}