{"id":"W3142044843","doi":"10.29173/iasl8087","title":"Searching for Knowledge: Teaching Information Technology to Secondary Students","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Syllabus; Variety (cybernetics); Information literacy; Curriculum; Process (computing); Computer science; Subject (documents); Mathematics education; Computer literacy; Knowledge management; World Wide Web; Pedagogy; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001694198,0.001233681,0.0009433581,0.002134941,0.00418519,0.009371991,0.001647747,0.002980496,0.01574243],"category_scores_gemma":[0.00390243,0.0006588205,0.0008829731,0.001473629,0.001756392,0.003449417,0.003935745,0.0038701,0.008406417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206086,"about_ca_system_score_gemma":0.006975019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289349,"about_ca_topic_score_gemma":0.002783959,"domain_scores_codex":[0.9991008,0.0001684262,0.0000559675,0.0001376552,0.0002336135,0.0003035467],"domain_scores_gemma":[0.9963976,0.0006154315,0.0002686256,0.0001655543,0.000378053,0.00217474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005442634,0.02672147,0.02565756,0.002521374,0.00005724394,0.003757253,0.09130128,0.001924592,0.03612542,0.06073641,0.1160123,0.6346409],"study_design_scores_gemma":[0.0003869603,0.006475223,0.02815141,0.003321146,0.0001517044,0.004298157,0.0605774,0.004488626,0.02362589,0.09004823,0.7783337,0.0001415552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5858157,0.006421292,0.04723942,0.02384717,0.003145844,0.002456329,0.0005045237,0.001784946,0.3287847],"genre_scores_gemma":[0.7128671,0.01243304,0.0791111,0.01127445,0.001188803,0.002030381,0.0008135021,0.0003665679,0.1799151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574243,"threshold_uncertainty_score":0.05266362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183335537984897,"score_gpt":0.3625613185016804,"score_spread":0.3407279631218315,"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."}}