{"id":"W4205791196","doi":"10.5937/inovacije2104036b","title":"Reshaping the educational landscape: During and after the COVID 19 pandemic","year":2021,"lang":"en","type":"article","venue":"Inovacije u nastavi","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Restructuring; Curriculum; Workforce; Pandemic; Equity (law); Coronavirus disease 2019 (COVID-19); Diversity (politics); Asynchronous communication; Higher education; Process (computing); Political science; Public relations; Knowledge management; Sociology; Computer science; Pedagogy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003463545,0.0001024972,0.00009631677,0.00004029243,0.0003453713,0.00004771361,0.0001358908,0.00005750366,0.002433697],"category_scores_gemma":[0.00008657313,0.00006461503,0.00004001147,0.0001984313,0.0001101784,0.00004272438,0.0001145335,0.0002550007,0.000118306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232919,"about_ca_system_score_gemma":0.0004680736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003142326,"about_ca_topic_score_gemma":0.0007622247,"domain_scores_codex":[0.9989811,0.0001487251,0.0001861189,0.0002686085,0.0001439055,0.0002715026],"domain_scores_gemma":[0.9990165,0.000425397,0.00005363295,0.0003518527,0.00003499146,0.0001175791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000385473,0.0001261524,0.9607688,0.0001480655,0.00006762486,0.00007004321,0.01379136,0.000003169472,0.00089662,0.007347087,0.01038765,0.00600793],"study_design_scores_gemma":[0.0009994373,0.00002562566,0.7327536,0.00002312066,0.00002399759,0.001089213,0.003788377,0.000005308555,0.00006831699,0.00171818,0.259351,0.0001537839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662559,0.006470473,0.00003737295,0.02393982,0.0006055229,0.0001875301,0.0000359779,0.000030341,0.002437043],"genre_scores_gemma":[0.9771222,0.0001065614,0.00002016924,0.0164891,0.0003894051,0.0000796143,0.00001761231,0.00001262394,0.005762692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489634,"threshold_uncertainty_score":0.9984782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806356476317656,"score_gpt":0.4157034410947622,"score_spread":0.3350677934629966,"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."}}