{"id":"W2137025480","doi":"10.1186/s12939-015-0133-7","title":"A tertiary approach to improving equity in health: quantitative analysis of the Māori and Pacific Admission Scheme (MAPAS) process, 2008–2012","year":2015,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Medical Education and Admissions","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Aotearoa; Pacific islanders; Indigenous; Bachelor; Medicine; Workforce; Logistic regression; Health services research; Public health; Ethnic group; Medical education; Family medicine; Nursing; Geography; Political science; Environmental health; Population; Internal medicine","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":[0.003665794,0.0001240993,0.0004386499,0.0006661557,0.0001059996,0.00003374232,0.0002883585,0.00006995585,0.00006784715],"category_scores_gemma":[0.006161787,0.00008438454,0.0001099694,0.0007489663,0.00006051444,0.0001681649,0.0001691017,0.0004959813,8.880767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008098349,"about_ca_system_score_gemma":0.005619936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005474234,"about_ca_topic_score_gemma":0.0001988076,"domain_scores_codex":[0.9973226,0.0001800858,0.001012882,0.0002389942,0.0009038185,0.0003416867],"domain_scores_gemma":[0.9972178,0.0001684757,0.0005340385,0.0001490615,0.000462931,0.001467695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005703905,0.01189493,0.4794546,0.006947568,0.001666289,0.00003073427,0.09709623,0.0030899,0.002072187,0.02406213,0.07544849,0.292533],"study_design_scores_gemma":[0.01761444,0.003867068,0.5333146,0.01144187,0.0003357337,0.0005873239,0.05656697,0.2848622,0.0003621421,0.01660739,0.07343175,0.001008489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5444452,0.003573182,0.01500602,0.4293239,0.002785537,0.002736062,0.0001653472,0.00003299672,0.001931792],"genre_scores_gemma":[0.9863271,0.0001711013,0.007656359,0.00517579,0.0001608881,0.00003522601,0.00004027333,0.00001165635,0.0004216799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4418819,"threshold_uncertainty_score":0.9969525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2168255278643277,"score_gpt":0.5384819653275357,"score_spread":0.3216564374632079,"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."}}