{"id":"W3193171935","doi":"10.1007/s42438-021-00243-7","title":"Teaching in the Age of Covid-19—1 Year Later","year":2021,"lang":"en","type":"article","venue":"Postdigital Science and Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; University of Calgary","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public health; Library science; Political science; Sociology; Public relations; Media studies; Medicine; Virology; Nursing; Infectious disease (medical specialty); Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006834248,0.00004045357,0.00004546258,0.00005616013,0.0001219783,0.0004593035,0.0003924456,0.00001395134,0.000003664039],"category_scores_gemma":[0.0004555352,0.00002999863,0.00001636076,0.0005922912,0.0001629656,0.001151711,0.00008737926,0.0000572031,0.00000510583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005396095,"about_ca_system_score_gemma":0.001480645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006948569,"about_ca_topic_score_gemma":0.00001792994,"domain_scores_codex":[0.9993175,0.00002613612,0.0001018152,0.0001834539,0.0002510116,0.0001201248],"domain_scores_gemma":[0.9995673,0.00005711743,0.00002920008,0.0002074256,0.00006624214,0.00007268684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002145094,0.0008836312,0.0306258,0.00006060432,0.00000358781,0.000006117942,0.1365313,0.000007738912,0.002818643,0.6012813,0.009170099,0.218609],"study_design_scores_gemma":[0.0004912153,0.0001510755,0.4570457,0.00007362098,0.000007021155,0.0002034118,0.08147836,0.0007478516,0.002214525,0.1457933,0.3112032,0.0005907057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879652,0.00008081043,0.0006886494,0.0160754,0.0003388207,0.00008807584,0.000001421478,0.0000173048,0.1030576],"genre_scores_gemma":[0.993889,0.000005739163,0.001010624,0.004543939,0.00002067395,0.000004660341,0.000004629357,0.000001114891,0.0005196455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.455488,"threshold_uncertainty_score":0.4429074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325722046319856,"score_gpt":0.3201124251119453,"score_spread":0.2968552046487467,"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."}}