{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491179,0.00004634054,0.00004221755,0.00007495154,0.0005971884,0.0004191549,0.001084084,0.000007017313,0.000007210203],"category_scores_gemma":[0.0003132884,0.00003046068,0.00001996033,0.0009235723,0.0002067972,0.001140504,0.0002396676,0.0001182473,0.000001832198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116228,"about_ca_system_score_gemma":0.00242907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006444557,"about_ca_topic_score_gemma":0.00002752657,"domain_scores_codex":[0.9990473,0.00004753885,0.0001201683,0.0001731969,0.0004622191,0.0001495919],"domain_scores_gemma":[0.9994955,0.00009843757,0.00005275218,0.0002410846,0.0000255845,0.00008662997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003607738,0.0004871908,0.004506423,0.00001425701,0.000002152133,0.000001360799,0.1990303,0.0001009424,0.000379608,0.4204374,0.04428512,0.3307516],"study_design_scores_gemma":[0.0002801188,0.000245601,0.08221519,0.000009199664,0.000004464054,0.0001739327,0.1031875,0.001585675,0.00008875085,0.07064058,0.7412579,0.0003110644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80713,0.0001913974,0.002253498,0.09815563,0.0009789275,0.0003709325,0.000003718237,0.00003598581,0.09087989],"genre_scores_gemma":[0.9894214,0.000002277683,0.0002798148,0.009432694,0.00003237498,0.00001761882,0.000003671445,0.000001241619,0.0008089225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6969728,"threshold_uncertainty_score":0.4593151,"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."}}