{"id":"W4312167153","doi":"10.5430/jct.v11n9p20","title":"Higher Education Institutions Management in a Pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Control (management); Adaptation (eye); Documentation; Higher education; Quality (philosophy); Pandemic; Process (computing); Medical education; Coronavirus disease 2019 (COVID-19); Knowledge management; Sociology; Engineering management; Political science; Pedagogy; Psychology; Engineering; Computer science; Business; Medicine; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003260691,0.0002042172,0.0001519704,0.0008725758,0.002849415,0.003948856,0.0007468378,0.001594333,0.003726471],"category_scores_gemma":[0.004337709,0.0001434512,0.0002044431,0.001318456,0.001576898,0.002379511,0.003554909,0.001106429,0.000359718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005661204,"about_ca_system_score_gemma":0.00638711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00523554,"about_ca_topic_score_gemma":0.004692088,"domain_scores_codex":[0.9962963,0.001545327,0.000129088,0.0001949699,0.0004376435,0.001396601],"domain_scores_gemma":[0.9961426,0.0006293064,0.00113455,0.0001844761,0.0005123857,0.00139674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000404823,0.00101256,0.3938186,0.0008409152,0.0001166513,0.007769629,0.05978606,0.01261048,0.004516489,0.1315922,0.04802969,0.3395019],"study_design_scores_gemma":[0.00005522295,0.0008749322,0.4103012,0.0007850557,0.00004960607,0.002542128,0.230374,0.009082334,0.003280061,0.02620515,0.3162755,0.0001748353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099869,0.002555539,0.003316222,0.025749,0.0004294759,0.0001787895,0.0001402977,0.0001040847,0.0575396],"genre_scores_gemma":[0.9949655,0.0004152904,0.0005039287,0.0004495434,0.00005080274,0.00001228443,0.00003065102,0.00000570463,0.00356629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005661204,"threshold_uncertainty_score":0.04107511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384932793264055,"score_gpt":0.3279457232582413,"score_spread":0.2940963953256007,"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."}}