{"id":"W3173139472","doi":"10.53967/cje-rce.v44i1.4401","title":"Using Multiple-Mini-Interviews for Admission into Teacher Education","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Education / Revue canadienne de l éducation","topic":"Medical Education and Admissions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Interview; Psychology; Medical education; Process (computing); Measure (data warehouse); Mathematics education; Applied psychology; Pedagogy; Medicine; Computer science; Sociology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007964571,0.0001943573,0.0003597189,0.0006653712,0.0002840863,0.00007335938,0.0001822462,0.0001919202,0.002340292],"category_scores_gemma":[0.01765499,0.0002015467,0.000221099,0.0005424546,0.00005980158,0.0002221221,0.000006883552,0.0003498554,0.000009424058],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004257444,"about_ca_system_score_gemma":0.1386853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007500332,"about_ca_topic_score_gemma":0.07309095,"domain_scores_codex":[0.9981874,0.0001482872,0.0007810254,0.0002890677,0.0001066117,0.0004875673],"domain_scores_gemma":[0.9906483,0.0001269053,0.0005093507,0.000413765,0.002230688,0.006071017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001208146,0.00235524,0.0306685,0.001781905,0.0001871128,0.00004153215,0.08780875,0.00005572752,0.02239598,0.004819286,0.4405295,0.4092356],"study_design_scores_gemma":[0.0008139789,0.0001751729,0.01377721,0.002141316,0.0003574629,0.00255872,0.05279046,0.0009038809,0.001723586,0.002452272,0.9219753,0.0003306828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370856,0.00282155,0.003202702,0.04363697,0.01097891,0.0005496777,0.00001185169,0.0000109056,0.001701837],"genre_scores_gemma":[0.9534862,0.00005395153,0.02289103,0.006254026,0.002518825,0.00005741705,0.0002668105,0.00004910743,0.01442264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4814457,"threshold_uncertainty_score":0.9995651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212278372816136,"score_gpt":0.3848271305641983,"score_spread":0.2635992932825847,"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."}}