{"id":"W4400424066","doi":"10.1108/dlp-04-2024-0067","title":"Artificial intelligence literacy: a proposed faceted taxonomy","year":2024,"lang":"en","type":"article","venue":"Digital Library Perspectives","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Taxonomy (biology); Computer science; Literacy; Artificial intelligence; Data science; Natural language processing; Psychology; Pedagogy; Biology; Zoology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00004199451,0.0001685534,0.0001358647,0.0002074523,0.00007748194,0.004270215,0.0005807352,0.00004546882,0.00006916967],"category_scores_gemma":[0.0000450829,0.0001420155,0.0001257063,0.0008410809,0.00009452934,0.005863654,0.000255392,0.000249841,0.0006174122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002174849,"about_ca_system_score_gemma":0.0001543717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.080259e-7,"about_ca_topic_score_gemma":4.834801e-8,"domain_scores_codex":[0.9988102,0.00002675616,0.000203434,0.000539161,0.0001736311,0.0002468496],"domain_scores_gemma":[0.9994318,0.0001039526,0.00003076894,0.0003016203,0.00003016595,0.0001017252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007065454,0.0001397216,0.0002279041,0.00002815545,0.00004672623,0.0001212174,0.00341588,0.00007983269,0.00004551841,0.6509997,0.0008300609,0.3440582],"study_design_scores_gemma":[0.00004092749,0.0003292866,0.0002272221,0.0002235622,0.00001139533,0.00005587549,0.002814892,0.5285152,0.003093311,0.2838723,0.1800878,0.0007282452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03742433,0.005678171,0.8068733,0.04497902,0.0009137397,0.0007010246,0.0002275341,0.006887766,0.09631513],"genre_scores_gemma":[0.9815671,0.00001924916,0.01463109,0.00007192845,0.0002779337,0.000007938054,0.00002339293,0.00002071322,0.003380638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9441428,"threshold_uncertainty_score":0.9967635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151910911754942,"score_gpt":0.2598057140215279,"score_spread":0.2382866049039784,"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."}}