{"id":"W3175518714","doi":"10.5430/ijhe.v11n1p12","title":"Pre-Service Teachers’ Levels of Adaptations to Remote Teaching and Learning at A University in A Developing Country in the Context of COVID-19","year":2021,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Preparedness; Context (archaeology); Psychology; Distance education; Medical education; Service (business); Adaptation (eye); Exploratory research; Mathematics education; Pedagogy; Sociology; Medicine; Geography; Political science; Business; Social science","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":[0.001079592,0.00004681263,0.0001134897,0.0002811397,0.0001384947,0.00001581232,0.0002536492,0.00004636456,0.00003128685],"category_scores_gemma":[0.001477286,0.00004609576,0.00002007226,0.0004001973,0.00007181477,0.0001833673,0.00005219212,0.0002579347,6.216819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009167923,"about_ca_system_score_gemma":0.001728226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004808296,"about_ca_topic_score_gemma":0.01404497,"domain_scores_codex":[0.9988486,0.0004136141,0.0002814321,0.00008652271,0.0002957998,0.00007404237],"domain_scores_gemma":[0.9984692,0.0005637056,0.0003391822,0.00004999862,0.0005443837,0.00003350238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006639906,0.0001786422,0.07682853,0.00002225047,0.00007524801,0.00000650898,0.8403946,0.000397576,0.003315777,0.0491473,0.0009469224,0.02862028],"study_design_scores_gemma":[0.0002833211,0.0000162502,0.5869318,0.0001602356,0.00001052769,0.00001201392,0.2677604,0.000004497308,0.0001493897,0.001054902,0.143562,0.0000547131],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486232,0.0003383764,0.0005201711,0.04922792,0.0003589354,0.00007401452,0.000003468906,0.000006273302,0.0008476677],"genre_scores_gemma":[0.9935245,0.0000990612,0.004066449,0.001085797,0.0000572735,9.260663e-7,0.000001925158,0.000002735735,0.001161312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5726342,"threshold_uncertainty_score":0.7837421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104811391102487,"score_gpt":0.392283498752081,"score_spread":0.3412353848410561,"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."}}