{"id":"W4399130538","doi":"10.4103/dypj.dypj_34_22","title":"COVID-19: Impact on medical education in India","year":2023,"lang":"en","type":"article","venue":"D Y Patil Journal of Health Sciences","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internship; Transformative learning; Medical education; Pandemic; The Internet; Telemedicine; Coronavirus disease 2019 (COVID-19); Videoconferencing; Health care; Medicine; Public relations; Psychology; Political science; Multimedia; Pedagogy; Computer science; Law; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001582216,0.0005026909,0.0002467407,0.002757659,0.00233402,0.005693126,0.001855073,0.001166221,0.03622876],"category_scores_gemma":[0.006195047,0.0001728673,0.0007354207,0.003758889,0.001239552,0.001566678,0.006209849,0.002186165,0.006503274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008881901,"about_ca_system_score_gemma":0.01614578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07749486,"about_ca_topic_score_gemma":0.05797946,"domain_scores_codex":[0.9957939,0.0007113899,0.0001856681,0.0002045599,0.001544193,0.001560343],"domain_scores_gemma":[0.9900702,0.001115363,0.001139687,0.0002467695,0.002077454,0.005350519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000759811,0.001321696,0.2925968,0.001986737,0.00009655059,0.003265481,0.00458923,0.001543941,0.001372342,0.03054313,0.3586002,0.3033242],"study_design_scores_gemma":[0.0001039905,0.0006854924,0.4924339,0.001485207,0.0001269111,0.002337874,0.01704068,0.001041826,0.001526337,0.002736378,0.4803422,0.0001392343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3865424,0.01442139,0.001302251,0.1259147,0.005885615,0.0005891391,0.03692653,0.002560008,0.4258579],"genre_scores_gemma":[0.913059,0.008439962,0.001978008,0.01992914,0.001204526,0.0002435314,0.01107823,0.0003549969,0.0437127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07749486,"threshold_uncertainty_score":0.1540876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07930043793391608,"score_gpt":0.5156510737902232,"score_spread":0.4363506358563072,"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."}}