{"id":"W1492288532","doi":"","title":"Assessing Information and Communication Technology Literacy of Education Undergraduates: Instrument Development","year":2002,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Literacy; Computer science; Mathematics education; Psychology; Pedagogy; Multimedia","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":[0.01141652,0.0006326809,0.0009390385,0.002285354,0.0008787409,0.001601255,0.0008057549,0.001010036,0.002736375],"category_scores_gemma":[0.0276725,0.0008996488,0.001223281,0.001364596,0.0006751225,0.001554818,0.002719227,0.001882241,0.001137024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008205065,"about_ca_system_score_gemma":0.00330528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009884782,"about_ca_topic_score_gemma":0.002008462,"domain_scores_codex":[0.9947121,0.001737753,0.001283832,0.0003533963,0.001389906,0.0005229996],"domain_scores_gemma":[0.9733511,0.01290911,0.002706989,0.001327412,0.007426639,0.002278751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006233571,0.005146757,0.7925786,0.0002474193,0.0001082349,0.0001049625,0.01336598,0.000389782,0.003239772,0.0007005946,0.002243308,0.1812511],"study_design_scores_gemma":[0.0002730393,0.00410778,0.9678843,0.0002325882,0.0001326311,0.0003488424,0.009468013,0.002808512,0.006500912,0.0009766766,0.007196924,0.00006973588],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9896965,0.0001472518,0.002775733,0.0002249864,0.00004206301,0.002429326,0.0002911624,0.00005804413,0.004334885],"genre_scores_gemma":[0.95648,0.0006955076,0.02996805,0.0003311683,0.00004168374,0.007193251,0.001159451,0.00004040727,0.004090426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01141652,"threshold_uncertainty_score":0.06037706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05199891048869372,"score_gpt":0.3248783160381925,"score_spread":0.2728794055494988,"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."}}