{"id":"W6893511588","doi":"10.5281/zenodo.15706310","title":"MANAGEMENT OF EDUCATIONAL CHALLENGES OF E-LEARNING APPLICATIONS AT PUBLIC TERTIARY INSTITUTIONS DURING AND POST COVID-19 ERA","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"E-Learning and COVID-19","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Government (linguistics); Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Public institution; Compliance (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0025895,0.000193825,0.0002698108,0.00091565,0.003151952,0.004786986,0.0008334773,0.001026773,0.004797987],"category_scores_gemma":[0.01045391,0.0001896633,0.0003256829,0.0009861017,0.0008146981,0.002414109,0.003257934,0.001496666,0.0007742686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196488,"about_ca_system_score_gemma":0.007052968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813234,"about_ca_topic_score_gemma":0.005804983,"domain_scores_codex":[0.9973788,0.0007893087,0.0002075423,0.0001513208,0.0005448211,0.0009281642],"domain_scores_gemma":[0.989734,0.001982301,0.002898173,0.0002958998,0.00155573,0.003533831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000189019,0.001421327,0.6935713,0.0006938527,0.0000526097,0.004636919,0.03488827,0.001024131,0.003143366,0.003606318,0.01133151,0.2454413],"study_design_scores_gemma":[0.00002041022,0.0008883401,0.7633006,0.0007349678,0.00004374596,0.001574921,0.1860486,0.002250623,0.001924786,0.002558375,0.04056001,0.00009455609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821066,0.0005869782,0.0005904142,0.005988474,0.00006056042,0.0001702733,0.0001074784,0.00003095196,0.01035831],"genre_scores_gemma":[0.9958779,0.0004875879,0.000661179,0.0003701627,0.00002865082,0.00005369534,0.00005165796,0.000005059611,0.002464211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004797987,"threshold_uncertainty_score":0.01605088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491840036578302,"score_gpt":0.317178861941024,"score_spread":0.272260461575241,"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."}}