{"id":"W4390650960","doi":"10.23977/aetp.2023.071817","title":"Difficulties and Countermeasures of Digital Literacy Improvement of University Teachers in Shaanxi Province under the Background of \"Trinity\"","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Literacy; Medical education; Digital literacy; Psychology; Pedagogy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139699,0.0001611707,0.0001680019,0.0006338394,0.00247455,0.0009076881,0.0005224369,0.0006482995,0.002732336],"category_scores_gemma":[0.002684435,0.0001323231,0.0001641163,0.0004312441,0.0008403439,0.00069558,0.001147842,0.0006660759,0.000204582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085695,"about_ca_system_score_gemma":0.005887185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02713738,"about_ca_topic_score_gemma":0.03042708,"domain_scores_codex":[0.9991384,0.0002622516,0.00005853946,0.00005853544,0.0001619956,0.0003203581],"domain_scores_gemma":[0.9986221,0.0002537765,0.0003357776,0.00006233133,0.0003845251,0.0003415477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002771484,0.001246365,0.5971805,0.0007265076,0.00004017708,0.002529668,0.1506539,0.0005319851,0.006381082,0.00514609,0.007081583,0.2282049],"study_design_scores_gemma":[0.00005741863,0.0006385923,0.7560564,0.0004701538,0.00005976147,0.0007013759,0.2077005,0.001299247,0.002875187,0.001420575,0.02867361,0.00004727959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951449,0.0003055956,0.0001136946,0.001441283,0.00001564343,0.00002474882,0.000009010429,0.0000111816,0.002933935],"genre_scores_gemma":[0.9976809,0.0002187099,0.0001359364,0.0001579752,0.000005613953,0.00001348899,0.00001556837,0.000001505737,0.001770263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02713738,"threshold_uncertainty_score":0.05395889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341268336067367,"score_gpt":0.3122530661333498,"score_spread":0.2988403827726761,"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."}}