{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937064,0.0000883285,0.0001203228,0.0002199573,0.0001049672,0.0002638573,0.001334163,0.00004172942,0.000002559532],"category_scores_gemma":[0.0001500971,0.00005474129,0.00001718962,0.0003343193,0.0003836873,0.001407564,0.001166609,0.000671982,3.079339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004302235,"about_ca_system_score_gemma":0.0002068713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301849,"about_ca_topic_score_gemma":0.000002778357,"domain_scores_codex":[0.9987117,0.0000455321,0.0002910222,0.0002546066,0.0005262456,0.0001709125],"domain_scores_gemma":[0.9993734,0.0001395798,0.0001562332,0.0001268455,0.00006342476,0.0001405376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002791878,0.000007366065,0.9864639,0.00001769689,0.00003337808,0.00004054653,0.001359002,0.001797321,0.00009051454,0.0004145005,0.00009708449,0.009650782],"study_design_scores_gemma":[0.0002517787,0.00009415193,0.7672792,0.0001557529,0.000009889454,0.0006926609,0.00007951228,0.2297391,0.000005547901,0.001295476,0.0003330632,0.00006378957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931213,0.004098261,0.001422258,0.001166628,0.000137194,0.00003358736,0.000006150641,0.000006153157,0.000008482219],"genre_scores_gemma":[0.9930865,0.006003954,0.0005804616,0.00011022,0.0001837145,4.271057e-7,9.330614e-7,0.000003205811,0.00003061254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279418,"threshold_uncertainty_score":0.2919464,"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."}}