{"id":"W4212881609","doi":"10.1007/s10459-022-10097-8","title":"Associations between admissions factors and the need for remediation","year":2022,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Referral; Logistic regression; Environmental remediation; Medicine; Family medicine; Demography; Psychology; 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":[0.001882796,0.00006682246,0.0001863494,0.0001716311,0.001240533,0.00001570319,0.0001065415,0.00002050068,0.0002498992],"category_scores_gemma":[0.008232982,0.00004316955,0.00003239553,0.0007129528,0.0001559052,0.0001644756,0.0000274563,0.0001840603,5.879994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181773,"about_ca_system_score_gemma":0.00490542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210319,"about_ca_topic_score_gemma":0.00003253168,"domain_scores_codex":[0.9986955,0.0001709338,0.0003811516,0.0002090145,0.0003422785,0.000201109],"domain_scores_gemma":[0.9977806,0.001281308,0.0002636164,0.0001140017,0.00005867385,0.0005017694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006972391,0.0005537578,0.8032084,0.0001723596,0.000009229112,5.469514e-8,0.0132355,0.0001796261,0.00001399585,0.06285252,0.01511842,0.1045865],"study_design_scores_gemma":[0.002136493,0.000495669,0.4383259,0.0001293542,0.00003062393,0.000004306693,0.02676631,0.001492632,0.0000221285,0.02643359,0.5039976,0.0001654434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3795784,0.01167116,0.0008495218,0.5976088,0.003769063,0.003902045,0.00009269313,0.00007358583,0.002454741],"genre_scores_gemma":[0.9866465,0.000839952,0.002375004,0.008683183,0.0002262964,0.0003809415,0.0002073939,0.000005694114,0.0006350886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6070681,"threshold_uncertainty_score":0.9856243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187643381761532,"score_gpt":0.4502523940070055,"score_spread":0.3983759601893902,"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."}}