{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001108154,0.0001165017,0.0001497819,0.0003378225,0.001004488,0.001306816,0.0006952145,0.0001165977,0.000147969],"category_scores_gemma":[0.001673307,0.0001164691,0.00004682357,0.0007140696,0.0001179183,0.02003189,0.0002788187,0.000293718,0.0002172649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006477902,"about_ca_system_score_gemma":0.0007821798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005782866,"about_ca_topic_score_gemma":0.00001079244,"domain_scores_codex":[0.9985616,0.00002246076,0.0003344422,0.0001999421,0.0004286868,0.0004528228],"domain_scores_gemma":[0.9981633,0.00007185755,0.0001092379,0.00007858486,0.001371165,0.0002057873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001089082,0.00003031508,0.00322725,0.00004657736,0.000006957738,2.770202e-7,0.6132522,6.324164e-7,0.00005379225,0.2575015,0.006695467,0.1191741],"study_design_scores_gemma":[0.0001917713,0.00006742003,0.001394865,0.00005886356,0.000002933494,0.000002271971,0.3159415,0.00009054261,0.0004253615,0.006180012,0.6754974,0.000147073],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723358,0.00003306033,0.002891269,0.02523736,0.0004482893,0.0007035408,0.00004438226,0.0003148284,0.0979915],"genre_scores_gemma":[0.9861321,0.00001011218,0.005709798,0.003711937,0.0001844797,0.00008397891,0.00002377365,0.00000551009,0.004138327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6688019,"threshold_uncertainty_score":0.9997299,"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."}}