{"id":"W4405039437","doi":"10.1182/blood-2024-200444","title":"Development of an Electronic Learning Module for CAR-T Education in Canadian Hematology Residents","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Juravinski Cancer Centre; McMaster University","funders":"","keywords":"Hematology; Medicine; Internal medicine; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003786556,0.000482527,0.000250317,0.001050295,0.002613527,0.0009611712,0.002092526,0.0007365682,0.01698898],"category_scores_gemma":[0.007251894,0.0003634579,0.0005450758,0.0005926275,0.0006323017,0.0005928927,0.002436148,0.001031576,0.002997613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007205,"about_ca_system_score_gemma":0.05318479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1943324,"about_ca_topic_score_gemma":0.4819643,"domain_scores_codex":[0.9985287,0.0002843147,0.00006167322,0.00009715911,0.000503579,0.0005245149],"domain_scores_gemma":[0.9931681,0.0004874829,0.0003373193,0.0001390446,0.002106419,0.003761671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004441052,0.01048673,0.09726756,0.001154723,0.00002406112,0.002625235,0.02078729,0.00157192,0.006888057,0.001000114,0.1589629,0.6987873],"study_design_scores_gemma":[0.0006755371,0.008632146,0.393506,0.001824696,0.0001110175,0.002155228,0.051583,0.005738829,0.01424044,0.001321784,0.5198504,0.0003610259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823895,0.0005159093,0.01216196,0.01968811,0.0008872029,0.01571328,0.002967768,0.001579048,0.06409723],"genre_scores_gemma":[0.7185435,0.001691881,0.1875346,0.006230299,0.0002490757,0.01050954,0.002551768,0.0001677733,0.07252157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8056676,"threshold_uncertainty_score":0.3864025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004334377493956108,"score_gpt":0.2246621659668078,"score_spread":0.2203277884728517,"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."}}