{"id":"W2207188516","doi":"","title":"Assessing and Predicting ICT Literacy in Education Undergraduates","year":2002,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Information and Communications Technology; Literacy; Mathematics education; Computer science; Medical education; Pedagogy; Psychology; Medicine; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051471,0.000294279,0.0003458063,0.001189911,0.0004605679,0.001776293,0.0003064458,0.0009522612,0.001424541],"category_scores_gemma":[0.01180871,0.0002256544,0.0002533367,0.0005491648,0.0002789842,0.0008278993,0.000864138,0.001064712,0.0007388914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147921,"about_ca_system_score_gemma":0.0006615398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003686026,"about_ca_topic_score_gemma":0.006586242,"domain_scores_codex":[0.9995453,0.0001111323,0.00006109595,0.00004881541,0.0001207086,0.0001129563],"domain_scores_gemma":[0.9933581,0.002037446,0.001235436,0.0001727952,0.001224843,0.001971492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000132124,0.001183901,0.98001,0.00001726176,0.00001191772,0.00005704735,0.001414028,0.0001039469,0.0005463768,0.00004777102,0.0002523857,0.01622322],"study_design_scores_gemma":[0.00002167658,0.001490937,0.9911444,0.00003811851,0.00003457426,0.0002097816,0.002542667,0.002116912,0.001448069,0.0002144727,0.000724568,0.00001392959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994329,0.00004204562,0.00003508556,0.00003159618,0.000003205097,0.000005809024,0.00001489022,0.00000383057,0.0004306771],"genre_scores_gemma":[0.999298,0.00006428416,0.0001165561,0.00002719199,0.000003676644,0.000005832853,0.00005130447,9.702767e-7,0.0004321609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003686026,"threshold_uncertainty_score":0.007329166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936896422401852,"score_gpt":0.3176969866455602,"score_spread":0.2883280224215417,"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."}}