{"id":"W3081294129","doi":"10.1007/s00345-020-03417-3","title":"Impact of COVID-19 on medical education: introducing homo digitalis","year":2020,"lang":"en","type":"article","venue":"World Journal of Urology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Continuing medical education; Coronavirus disease 2019 (COVID-19); The Internet; Family medicine; Medical education; Social media; Pandemic; Continuing education; 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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005099059,0.0001224538,0.0005420191,0.0003925265,0.00003688488,0.000008234361,0.0001663218,0.00009450817,0.002006557],"category_scores_gemma":[0.009717438,0.00008935402,0.0002366054,0.0004258447,0.0001109903,0.00007277366,0.00003385793,0.0006142955,0.00001579683],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547725,"about_ca_system_score_gemma":0.009627201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001536718,"about_ca_topic_score_gemma":0.00006895388,"domain_scores_codex":[0.9983895,0.0001221181,0.0006360567,0.0001534889,0.0004610397,0.0002377963],"domain_scores_gemma":[0.9970759,0.0004661894,0.0004091872,0.0001882065,0.0002470954,0.00161339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0111348,0.00179767,0.2966591,0.001004917,0.0007281789,0.001531147,0.00594269,0.0007425792,0.0008102144,0.002381683,0.5129195,0.1643476],"study_design_scores_gemma":[0.005920066,0.01804502,0.1810113,0.0002200284,0.000297415,0.0041813,0.0002158697,0.0001901807,0.00007679097,0.0009562743,0.7886506,0.0002351836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2775656,0.002648371,0.000388495,0.7174175,0.000515338,0.0001462333,0.000008803856,0.00001648996,0.001293096],"genre_scores_gemma":[0.921946,0.0003762766,0.000087629,0.07569154,0.001809392,7.761274e-7,0.000005405429,0.00001341599,0.00006949266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6443805,"threshold_uncertainty_score":0.9989057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096061581386282,"score_gpt":0.4182139093031872,"score_spread":0.3672532934893244,"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."}}