{"id":"W3124072464","doi":"10.2196/24497","title":"Medical Morphology Training Using the Xuexi Tong Platform During the COVID-19 Pandemic: Development and Validation of a Web-Based Teaching Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Medical education; Pandemic; Web application; Online teaching; Coronavirus disease 2019 (COVID-19); Medicine; Computer science; Pathology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006077848,0.0003801733,0.0002226058,0.0009166411,0.0009670911,0.001254472,0.001191202,0.000653766,0.005120806],"category_scores_gemma":[0.007775848,0.0001984457,0.0004720649,0.0003659064,0.0005316161,0.001162819,0.002863221,0.0007427924,0.001057619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009210198,"about_ca_system_score_gemma":0.003424538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085548,"about_ca_topic_score_gemma":0.002329503,"domain_scores_codex":[0.9974957,0.00134673,0.0001107877,0.0003116717,0.0005027511,0.0002322451],"domain_scores_gemma":[0.9945871,0.002176978,0.0003356656,0.0003566635,0.000897567,0.001646142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008810908,0.01776597,0.1006765,0.001371624,0.00005639085,0.002320104,0.02713352,0.002217966,0.02177747,0.002079373,0.009583913,0.814136],"study_design_scores_gemma":[0.001694724,0.03328341,0.5290651,0.003666516,0.0005280286,0.007068496,0.07017106,0.03815112,0.06143485,0.005406469,0.2489165,0.0006138148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556028,0.0002823871,0.02585406,0.0008597159,0.0002178974,0.002467083,0.0001393981,0.0003274783,0.01424926],"genre_scores_gemma":[0.8234158,0.0009375388,0.1591369,0.001008051,0.0001473604,0.004521711,0.0003411603,0.0000902091,0.01040133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006077848,"threshold_uncertainty_score":0.03214306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123625356523018,"score_gpt":0.307231526722367,"score_spread":0.2559952731571368,"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."}}