{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00627475,0.0005939569,0.0007237397,0.01112392,0.002902531,0.008759781,0.00123338,0.001847398,0.004436163],"category_scores_gemma":[0.0195655,0.000410319,0.001395872,0.00936315,0.007044654,0.01244399,0.004270265,0.002104822,0.0008527337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004742111,"about_ca_system_score_gemma":0.009352072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008759967,"about_ca_topic_score_gemma":0.005800761,"domain_scores_codex":[0.9944783,0.002367862,0.0008922878,0.0005232322,0.001199453,0.0005387419],"domain_scores_gemma":[0.9803576,0.009130353,0.00169615,0.001283665,0.006468999,0.001063313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007040883,0.0001195759,0.06310929,0.001958648,0.00007124421,0.0004639422,0.05643756,0.001773633,0.001200559,0.6950432,0.009074702,0.1706773],"study_design_scores_gemma":[0.00003367839,0.0002166477,0.03146185,0.00370093,0.00009491308,0.001641836,0.07905651,0.01481333,0.0005784239,0.7265369,0.1417532,0.0001118467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2258739,0.00798019,0.4835193,0.02326677,0.0004020638,0.004324201,0.003520251,0.001000209,0.2501131],"genre_scores_gemma":[0.6957286,0.003920492,0.2877284,0.001199324,0.0001079011,0.002402563,0.003006639,0.00008320723,0.005822739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01112392,"threshold_uncertainty_score":0.0344066,"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."}}