{"id":"W4319837041","doi":"10.5539/gjhs.v15n2p32","title":"Educational Equity Patterns in South Carolina Career and Technical Education","year":2023,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Ethnic group; Equity (law); South carolina; Health equity; Audit; Population; Medical education; Psychology; Gerontology; Sociology; Medicine; Political science; Nursing; Demography; Public health; Public administration; Management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002538304,0.0001473824,0.0001797232,0.004931385,0.002266273,0.001752454,0.0007621287,0.0003735333,0.004956005],"category_scores_gemma":[0.009081736,0.000147242,0.0003716049,0.005647885,0.0009371632,0.001298856,0.003184799,0.0007560941,0.0001229614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006011446,"about_ca_system_score_gemma":0.01202225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2422748,"about_ca_topic_score_gemma":0.3785509,"domain_scores_codex":[0.9985278,0.0002164134,0.0001271718,0.0002048021,0.0004771461,0.0004467934],"domain_scores_gemma":[0.9950217,0.001876901,0.0009477685,0.0001657333,0.001523923,0.0004639291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008647538,0.0001192682,0.595355,0.001535533,0.0001133921,0.0006241155,0.04604328,0.0005966819,0.0012337,0.02430733,0.006746564,0.3232386],"study_design_scores_gemma":[0.000006068391,0.00004086268,0.9267365,0.001396191,0.0000379115,0.0001403825,0.04299631,0.0003196269,0.0005119218,0.002499315,0.02529116,0.00002376066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489523,0.007005307,0.001475264,0.005952424,0.00006940974,0.0001436083,0.001138034,0.00002514851,0.03523851],"genre_scores_gemma":[0.9941807,0.001709575,0.0006499292,0.0004614104,0.00001032081,0.0000705803,0.0004784153,0.000006418474,0.002432575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422748,"threshold_uncertainty_score":0.4817293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08570176392276627,"score_gpt":0.3806822954488601,"score_spread":0.2949805315260938,"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."}}