{"id":"W4390977232","doi":"10.5267/j.ijdns.2024.1.011","title":"Students’ academic performance before, during, and after COVID-19 in F2F and OL learning: The impact of gender and academic majors","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Academic achievement; Pandemic; Psychology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mathematics education; Medical education; Medicine; Infectious disease (medical specialty)","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":[0.00148337,0.0005168725,0.0006532877,0.0009663892,0.0009247389,0.001685887,0.0004603511,0.0006014093,0.003419945],"category_scores_gemma":[0.005721972,0.0001136174,0.0005788702,0.0006127777,0.0005333488,0.0007726781,0.001560353,0.001131465,0.001356802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062282,"about_ca_system_score_gemma":0.001191261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468341,"about_ca_topic_score_gemma":0.004879433,"domain_scores_codex":[0.9987147,0.0001840803,0.00009970624,0.0001915164,0.000313389,0.0004967444],"domain_scores_gemma":[0.9938836,0.0006795793,0.001054333,0.0001934902,0.001217271,0.002971678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009835707,0.002861111,0.9011227,0.00009553826,0.00005577584,0.00039942,0.004491659,0.0005005678,0.002341758,0.0002177415,0.001858501,0.08507161],"study_design_scores_gemma":[0.000007540032,0.001177729,0.9919136,0.0000220551,0.00001118277,0.00006236321,0.004179002,0.0002373907,0.0010798,0.0001228171,0.001158895,0.00002765235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981116,0.00006570046,0.00006347118,0.00009168265,0.00003106038,0.00001653974,0.0001314751,0.000008519426,0.001480058],"genre_scores_gemma":[0.9983414,0.00004093895,0.00008253634,0.00002619738,0.00001254622,0.00002569837,0.0001699911,0.000002947264,0.001297696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003468341,"threshold_uncertainty_score":0.01144081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284391374882779,"score_gpt":0.3938098239275423,"score_spread":0.3609659101787145,"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."}}