{"id":"W4295989459","doi":"10.1007/s42438-022-00332-1","title":"Teaching in the Age of Covid-19—The New Normal","year":2022,"lang":"en","type":"article","venue":"Postdigital Science and Education","topic":"Digital Education and Society","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Université du Québec en Outaouais","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Workspace; Data collection; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; New normal; Computer science; Medicine; Mathematics; Artificial intelligence; Statistics; Virology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003950359,0.0002354445,0.00033157,0.0009752742,0.01526678,0.01142948,0.001137978,0.00279308,0.01581559],"category_scores_gemma":[0.007572531,0.0002990969,0.000243125,0.000797216,0.01061123,0.009888638,0.01060037,0.008765467,0.003322644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007892522,"about_ca_system_score_gemma":0.01706229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02893975,"about_ca_topic_score_gemma":0.0970564,"domain_scores_codex":[0.9960019,0.0007296762,0.0001241409,0.0004175542,0.001036296,0.001690312],"domain_scores_gemma":[0.9929791,0.0004217555,0.0002679512,0.0002887429,0.001075192,0.004967208],"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":[0.0001887698,0.0003211311,0.01230198,0.00007861184,0.000006286275,0.002215404,0.08482015,0.0000707515,0.001095769,0.5163453,0.2269026,0.1556533],"study_design_scores_gemma":[0.00001619347,0.0000815652,0.006028937,0.0001974549,0.000002435438,0.001539936,0.05101176,0.0001212965,0.0002883512,0.03579839,0.9048807,0.00003289779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1845521,0.007820765,0.002944191,0.31082,0.01540221,0.0001022696,0.0002033917,0.000259904,0.4778951],"genre_scores_gemma":[0.7235548,0.003294559,0.001703584,0.03342426,0.001930897,0.00009452829,0.00009712129,0.0002603079,0.2356399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02893975,"threshold_uncertainty_score":0.05754262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164289504436639,"score_gpt":0.3101083684087231,"score_spread":0.2884654733643567,"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."}}