{"id":"W4362658856","doi":"10.5539/hes.v13n2p63","title":"How capable are they of Becoming a Digital Teacher? Correlation Analysis of Individual Characteristics, Digital Self-efficacy, and Digital Citizenship among Pre-service Teachers in Northeast Thailand","year":2023,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Digital literacy in education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Khon Kaen University","keywords":"Citizenship; Descriptive statistics; Service (business); Cluster sampling; Psychology; Medical education; Higher education; Self-efficacy; Mathematics education; Sociology; Political science; Statistics; Mathematics; Business; Social psychology; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002288215,0.0002447488,0.0005238043,0.0007952312,0.00008048649,0.001066175,0.0004105666,0.00007609594,0.000001969281],"category_scores_gemma":[0.0002149889,0.0002346323,0.00008420191,0.001974274,0.0001092895,0.002707587,0.0002984028,0.000138717,0.000005437788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008089,"about_ca_system_score_gemma":0.0001148334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002944243,"about_ca_topic_score_gemma":0.0000359084,"domain_scores_codex":[0.9982283,0.00004217997,0.0005596569,0.0004701669,0.0004300452,0.0002696281],"domain_scores_gemma":[0.9979944,0.0004531716,0.0006224464,0.0004232105,0.0004198365,0.00008690246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000842432,0.0004735815,0.9585595,0.00007697895,0.0006196523,7.216495e-7,0.03116284,0.00006080705,0.000002366414,0.0004052017,0.000264823,0.008365133],"study_design_scores_gemma":[0.0002510503,0.00003653888,0.9877007,0.0001273462,0.0001508156,0.000001329917,0.01000774,0.0007154456,0.000004132167,0.000492277,0.0002964307,0.0002161685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974201,0.0001946451,0.00009144883,0.0006428594,0.0004669218,0.0002600972,0.0001892071,0.0001215865,0.0006131501],"genre_scores_gemma":[0.998014,0.00001382785,0.0001388067,0.00002539012,0.00007326425,0.00005180581,0.0004028462,0.00001825086,0.001261756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02914126,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188423461455166,"score_gpt":0.2864624120100514,"score_spread":0.2545781773954998,"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."}}