{"id":"W3146914344","doi":"10.1177/23821205211000349","title":"Design, Implementation and Evaluation of a Distance Learning Framework to Expedite Medical Education during COVID-19 pandemic: A Proof-of-Concept Study","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Education and Curricular Development","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distance education; Instructional design; Medical education; Blueprint; Coronavirus disease 2019 (COVID-19); Computer science; Psychology; Mathematics education; Medicine; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004371014,0.0001168795,0.0002726488,0.0001765725,0.0001281634,0.00001639507,0.000119294,0.0001231916,0.001579385],"category_scores_gemma":[0.002616181,0.0001016423,0.00003185585,0.0003180366,0.00004729972,0.00007834387,0.00005727883,0.0003175098,7.735559e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005122153,"about_ca_system_score_gemma":0.01898283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007810886,"about_ca_topic_score_gemma":0.00007170449,"domain_scores_codex":[0.9960935,0.0007684733,0.0009175914,0.0002360372,0.001823631,0.0001607628],"domain_scores_gemma":[0.9979036,0.0002016811,0.0005377556,0.0001029101,0.0005166383,0.0007373936],"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":[0.00009291866,0.002423096,0.1707925,0.0001985332,0.00009301228,0.000008383958,0.08200409,0.00001981866,0.00002890882,0.0002531341,0.0007666137,0.743319],"study_design_scores_gemma":[0.008556014,0.001190273,0.4810995,0.002953791,0.0003799223,0.00105983,0.4676082,0.0002601327,0.001584249,0.001149769,0.03362395,0.0005343623],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448654,0.004676329,0.04591659,0.002972351,0.000960252,0.0005894629,4.795133e-7,0.000005124192,0.00001399626],"genre_scores_gemma":[0.9953836,0.0001526815,0.002821407,0.001262601,0.000193639,0.0001207154,0.00001196567,0.000008644083,0.00004470507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7427846,"threshold_uncertainty_score":0.9993333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09943984723811446,"score_gpt":0.5206141040764839,"score_spread":0.4211742568383695,"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."}}