{"id":"W4409589347","doi":"10.33137/ijidi.v9i1/2.43719","title":"Perception and Experience of Online Learning During COVID-19","year":2025,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Coronavirus disease 2019 (COVID-19); Perception; Online learning; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Computer science; Cognitive psychology; Medicine; Multimedia; Virology; Internal medicine; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006691316,0.00006560185,0.00009495288,0.0004257005,0.0008922255,0.0001055072,0.001157049,0.0000343784,0.0001187009],"category_scores_gemma":[0.0006698409,0.0000521527,0.00009248072,0.0002153619,0.00007644981,0.001506945,0.003098503,0.0002293946,0.000005641552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171258,"about_ca_system_score_gemma":0.0001434701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313686,"about_ca_topic_score_gemma":0.000007739342,"domain_scores_codex":[0.9987907,0.00008754295,0.0004404145,0.00006132583,0.0005494272,0.00007058186],"domain_scores_gemma":[0.9984663,0.0001300312,0.0005833933,0.0001105,0.0006441515,0.00006560046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005067246,0.0005761186,0.3008295,0.000186641,0.0004185986,0.00001516541,0.5351529,0.02782222,0.005214924,0.05431922,0.007262995,0.06769504],"study_design_scores_gemma":[0.003416234,0.0002487448,0.8159218,0.000575402,0.00005704415,0.0003351081,0.07150098,0.03318816,0.001195372,0.004553368,0.06868915,0.000318566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808038,0.00003714743,0.1043316,0.01377538,0.0005888365,0.00005041056,0.000002322415,0.00002036926,0.0003901406],"genre_scores_gemma":[0.9960365,0.0001285911,0.002023963,0.001385601,0.00003454934,5.273541e-7,0.000005334973,0.000001004131,0.0003839129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5150924,"threshold_uncertainty_score":0.6862367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796464567971142,"score_gpt":0.3134467614745868,"score_spread":0.2954821157948754,"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."}}