{"id":"W4414862395","doi":"10.1007/978-981-96-5265-5_33","title":"AISCliteracy: Assessing AI and Cybersecurity Literacy Levels and Learning Needs of Students","year":2025,"lang":"en","type":"book-chapter","venue":"Algorithms for intelligent systems","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sault College","funders":"","keywords":"Literacy; Perspective (graphical); Survey data collection; Computer literacy; Applications of artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001010768,0.0004601658,0.0008666232,0.0006152139,0.0002527261,0.001116075,0.0006674679,0.0003298721,0.000003717584],"category_scores_gemma":[0.0001275715,0.0004418621,0.0001924888,0.0001363845,0.0001020502,0.0005010067,0.0005523713,0.000797078,0.000004482039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000668517,"about_ca_system_score_gemma":0.0001169117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008150004,"about_ca_topic_score_gemma":0.000001052168,"domain_scores_codex":[0.997555,0.00009849945,0.0009262762,0.000579147,0.0005082421,0.0003328501],"domain_scores_gemma":[0.9976231,0.0006076467,0.0006397763,0.00047447,0.0005051417,0.0001498666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000017044,0.0001530356,0.003979513,0.004334747,0.001202159,0.00003978553,0.01352215,0.0005266265,0.00002281654,0.3866798,0.0006835908,0.5888387],"study_design_scores_gemma":[0.0008607432,0.0006099915,0.0001904231,0.009977279,0.0004345399,0.0001135562,0.0009666568,0.6102887,0.00007927302,0.01573124,0.3592667,0.001480888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001576628,0.01134517,0.9724885,0.0005723518,0.002250686,0.001154446,0.0001219247,0.0002422258,0.01024802],"genre_scores_gemma":[0.2728484,0.001079344,0.02915489,0.0002775075,0.000917725,0.00004673135,0.0001314465,0.0001403868,0.6954036],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9433337,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947377620475927,"score_gpt":0.3458804943609078,"score_spread":0.3164067181561486,"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."}}