{"id":"W3149823043","doi":"10.29173/iasl8082","title":"Knowledge Building Through Multiple Literacy Learning","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Information literacy; Information and Communications Technology; Literacy; Sophistication; 21st century skills; Knowledge management; Computer science; Curriculum development; Pedagogy; Mathematics education; Sociology; Psychology; World Wide Web","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":[0.0005345786,0.0001667333,0.000196591,0.00008753809,0.00108929,0.001446414,0.0004640103,0.0001222704,0.0008706224],"category_scores_gemma":[0.00146917,0.0001638668,0.00008604762,0.001002883,0.000253858,0.02641934,0.0001913493,0.0003416111,0.0003196431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005340893,"about_ca_system_score_gemma":0.0006119144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001377491,"about_ca_topic_score_gemma":0.000007042772,"domain_scores_codex":[0.9982289,0.00005158736,0.0003565672,0.0003631478,0.0004386741,0.0005611154],"domain_scores_gemma":[0.997699,0.0001457116,0.000161587,0.00008317933,0.00171064,0.0001999381],"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":[0.000007556452,0.0000442069,0.01840776,0.00003358178,0.00000724174,0.000003262343,0.8500299,0.000001928043,0.0002806931,0.1115713,0.003111412,0.01650118],"study_design_scores_gemma":[0.0002057517,0.000036453,0.00166265,0.0001028443,0.000004844738,0.00000590745,0.1983884,0.0008682731,0.001778143,0.004276634,0.7924164,0.0002536849],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247179,0.0002846188,0.0009550867,0.004088388,0.0004712337,0.0001752644,0.000009822479,0.0003556618,0.168942],"genre_scores_gemma":[0.9776695,0.0001539286,0.004079739,0.001349527,0.0004105554,0.00001726071,0.00001301468,0.00001015743,0.01629627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.789305,"threshold_uncertainty_score":0.9995902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383132311788643,"score_gpt":0.3336648070508788,"score_spread":0.2998334839329923,"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."}}