{"id":"W4309938040","doi":"10.3390/educsci12120857","title":"Teaching and Learning in Higher Education in Bangladesh during the COVID-19 Pandemic: Learning from the Challenges","year":2022,"lang":"en","type":"article","venue":"Education Sciences","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Preparedness; Higher education; Pandemic; Globe; Distance education; Public relations; Professional development; The Internet; Political science; Medical education; Coronavirus disease 2019 (COVID-19); Pedagogy; Mathematics education; Psychology; Sociology; Medicine; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00291426,0.00007549041,0.00007768966,0.0001461693,0.001698545,0.00005181782,0.0002814649,0.00002648329,0.000787654],"category_scores_gemma":[0.0002372237,0.00005313606,0.00001465579,0.00032556,0.0001257826,0.0001230718,0.0001009926,0.0008560368,0.000008705636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681234,"about_ca_system_score_gemma":0.001508625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02790608,"about_ca_topic_score_gemma":0.002402075,"domain_scores_codex":[0.9973943,0.001666451,0.0001819812,0.0003407502,0.0002089682,0.000207583],"domain_scores_gemma":[0.9983581,0.001334707,0.000115324,0.0001254223,0.000007172015,0.00005932343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001108143,0.000119748,0.7978407,0.00001324075,0.000001770935,3.343033e-7,0.1041953,0.0002976333,0.00005669008,0.005629299,0.0002157692,0.09161843],"study_design_scores_gemma":[0.0001366353,0.00003170955,0.6407661,0.00001478144,0.000001707632,0.000008242986,0.1893572,0.00002459633,4.153616e-7,0.0009495395,0.1686496,0.00005948547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328492,0.008838145,0.000001630257,0.05094029,0.001278251,0.0002183579,6.860671e-7,0.00002820021,0.005845232],"genre_scores_gemma":[0.9867857,0.0001560954,0.0000239623,0.004027798,0.0002114328,0.000211999,0.000004815984,0.000005648305,0.008572551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1684338,"threshold_uncertainty_score":0.9996011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929376731537441,"score_gpt":0.4613902381735261,"score_spread":0.268452565019782,"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."}}