{"id":"W4380342597","doi":"10.55849/attasyrih.v8i2.139","title":"Implementation of Hybrid Learning to Maintain the Quality of Learning in Fostered MTs During the Covid-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"At-Tasyrih jurnal pendidikan dan hukum Islam","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Government (linguistics); Competence (human resources); Online and offline; Quality (philosophy); Computer science; Psychology; Data collection; Medical education; Public relations; Knowledge management; Political science; Sociology; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01193254,0.0001624923,0.0003015105,0.0002300402,0.001317354,0.00006107307,0.0005599049,0.00005421063,0.0002992674],"category_scores_gemma":[0.003569853,0.0001240999,0.0001553981,0.001038027,0.0002895334,0.0001528154,0.0002266853,0.0006061475,0.00002202861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479438,"about_ca_system_score_gemma":0.0004746198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007220805,"about_ca_topic_score_gemma":0.00998328,"domain_scores_codex":[0.9930364,0.004514814,0.0007681953,0.0003178059,0.0008290914,0.0005336959],"domain_scores_gemma":[0.9963022,0.002570687,0.0006245261,0.0002248606,0.0001188721,0.0001588794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005093059,0.00002670377,0.9075342,0.00006023918,0.00003020303,0.000006329275,0.07512974,0.004155558,0.004310708,0.005664617,0.0002787589,0.002751974],"study_design_scores_gemma":[0.0005171005,0.00008920849,0.802623,0.00004000741,0.00001889968,0.00001454966,0.1779144,0.00003099267,0.0007860988,0.001160717,0.01662238,0.0001826682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99287,0.00005715955,0.0001351454,0.0050419,0.0001993963,0.000445271,0.000009492523,0.00007606571,0.001165555],"genre_scores_gemma":[0.9977925,0.00009362968,0.0001048755,0.0002080142,0.0001997213,0.00005007318,0.00003370093,0.00002040935,0.00149711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049112,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041506663414518,"score_gpt":0.4664196232887455,"score_spread":0.3622689569472937,"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."}}