{"id":"W4297457605","doi":"10.1111/tme.12920","title":"E‐learning/online education in transfusion medicine: A cross‐sectional international survey","year":2022,"lang":"en","type":"article","venue":"Transfusion Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Pandemic; Transfusion medicine; Blood transfusion; Medical education; Coronavirus disease 2019 (COVID-19); Scope (computer science); Distance education; Donation; E learning; Blood donor; Family medicine; Psychology; Educational technology; Pedagogy; Surgery; Infectious disease (medical specialty); Disease; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002819422,0.0001846188,0.0002787806,0.001378604,0.0003016237,0.0007208645,0.0003164019,0.0005896428,0.003589944],"category_scores_gemma":[0.006109711,0.0003072541,0.0002565834,0.002265721,0.0003166213,0.001449457,0.0007705307,0.0006379268,0.001151299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295216,"about_ca_system_score_gemma":0.0004727521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121861,"about_ca_topic_score_gemma":0.00110469,"domain_scores_codex":[0.9983788,0.0005590767,0.000287146,0.0001590413,0.0003403638,0.0002755791],"domain_scores_gemma":[0.9933663,0.001712343,0.002934585,0.0002172303,0.0007460432,0.001023502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003697783,0.0003040224,0.9914041,0.00009340436,0.00001398508,0.00006283916,0.001436073,0.00003284817,0.0001816107,0.00003852768,0.000706256,0.0056894],"study_design_scores_gemma":[0.000004136823,0.0003210625,0.9939349,0.00005354558,0.000009069746,0.0002712985,0.003656864,0.0001156638,0.00007890629,0.00001601746,0.001532809,0.000005764097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962135,0.0002486637,0.0002040815,0.0002433073,0.000007160645,0.0001020286,0.001186392,0.000008368377,0.001786565],"genre_scores_gemma":[0.997049,0.0005707756,0.0003338245,0.0003854808,0.00001633543,0.0001367942,0.0009026862,0.000005454212,0.0005998074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003589944,"threshold_uncertainty_score":0.0149107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014973599127988,"score_gpt":0.3203505431758351,"score_spread":0.2902008071845552,"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."}}