{"id":"W2920980462","doi":"10.29390/cjrt-2019-002","title":"Assessing noncognitive domains of respiratory therapy applicants: Messick’s framework appraisal of the multiple mini-interview","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Respiratory Therapy","topic":"Medical Education and Admissions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Psychology; Aptitude; Cognition; Applied psychology; Medical education; Measure (data warehouse); Clinical psychology; Medicine; Developmental psychology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001360339,0.0002338746,0.0007304733,0.0003326264,0.0001220062,0.00003053836,0.0004886086,0.000234549,0.002969433],"category_scores_gemma":[0.00202117,0.0001475271,0.0004200929,0.0005303461,0.0004392014,0.0001636405,0.00001523676,0.0008070758,0.00001018961],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234783,"about_ca_system_score_gemma":0.01016324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001535409,"about_ca_topic_score_gemma":0.0001690336,"domain_scores_codex":[0.9973781,0.0005113517,0.0009779902,0.0002167236,0.0005712178,0.0003446178],"domain_scores_gemma":[0.9954205,0.000746558,0.001030912,0.0005873216,0.0006718526,0.001542819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009804798,0.001128982,0.3839598,0.0004415369,0.001243204,0.0001329384,0.01032658,0.00001585834,0.1149403,0.001058669,0.02085777,0.4649138],"study_design_scores_gemma":[0.005974046,0.001405843,0.1397862,0.003472677,0.00007203882,0.00005091607,0.005124643,0.00001022908,0.02978251,0.0001878195,0.8138487,0.0002843326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848295,0.009417838,0.0002679549,0.002231007,0.001196812,0.0005503918,0.00002385597,0.000006855059,0.001475813],"genre_scores_gemma":[0.9816845,0.0001942874,0.0005069132,0.01701705,0.0004414817,0.000009094125,0.000001128149,0.00004423743,0.0001013223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.792991,"threshold_uncertainty_score":0.997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07590222385562935,"score_gpt":0.3793932948020768,"score_spread":0.3034910709464474,"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."}}