{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003138663,0.0002390697,0.0003738081,0.0009513729,0.01574396,0.008984975,0.001837253,0.002023301,0.003303331],"category_scores_gemma":[0.00715813,0.0002542642,0.0002774971,0.00137172,0.007557702,0.003421325,0.00745078,0.003731036,0.0002726262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03471672,"about_ca_system_score_gemma":0.04082816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5675109,"about_ca_topic_score_gemma":0.7697569,"domain_scores_codex":[0.9953523,0.001254514,0.00005851786,0.0001744972,0.0004807934,0.002679395],"domain_scores_gemma":[0.996428,0.0005062954,0.000329755,0.000100839,0.0005064806,0.00212872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002564429,0.0005079774,0.09191925,0.0003159957,0.00002489151,0.003852121,0.7297572,0.0007891529,0.002701997,0.01646544,0.01865678,0.1347527],"study_design_scores_gemma":[0.000009223111,0.000121379,0.1014649,0.000205258,0.000007996207,0.0002626639,0.8437167,0.0002243286,0.000303687,0.00168175,0.05195169,0.00005036025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402065,0.0009757993,0.0006423753,0.03612586,0.0002794262,0.0000964034,0.0001310404,0.00004148106,0.02150114],"genre_scores_gemma":[0.9938821,0.0005133536,0.0004128131,0.002162392,0.00004819713,0.00002346858,0.00005017676,0.00001904502,0.002888466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5675109,"threshold_uncertainty_score":0.8700722,"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."}}