{"id":"W4251491419","doi":"10.20533/licej.2040.2589.2015.0279","title":"Engaging Multiliteracies Learning","year":2015,"lang":"en","type":"article","venue":"Literacy Information and Computer Education Journal","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redeemer University","funders":"","keywords":"Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000463294,0.0001335234,0.0001158828,0.0003235174,0.0005323497,0.002861216,0.0001085095,0.00002836943,0.000358112],"category_scores_gemma":[0.0001091784,0.0001146318,0.00004267714,0.00005633141,0.00005709555,0.00707709,0.00002691295,0.0003400923,0.0001484838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005903846,"about_ca_system_score_gemma":0.0003832954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002569135,"about_ca_topic_score_gemma":0.00000102146,"domain_scores_codex":[0.9989098,0.0001033416,0.0004997501,0.00008326439,0.0002230888,0.0001807085],"domain_scores_gemma":[0.9983867,0.00006245627,0.0002757801,0.00009377382,0.0008424043,0.0003388443],"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":[0.000007944505,0.00003388277,0.001289269,0.00002110976,0.000006856254,1.650674e-7,0.6731436,0.0000214116,9.979458e-8,0.003420061,0.01008819,0.3119674],"study_design_scores_gemma":[0.0003472108,0.00006125153,0.001124027,0.0000824099,0.000009006809,0.0001344515,0.134349,0.008333618,0.000003381103,0.001215524,0.8541901,0.0001499815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711103,0.000667142,0.005809216,0.001959002,0.01250595,0.0001606314,0.00000429146,0.0001214135,0.007662081],"genre_scores_gemma":[0.9863757,0.00004529659,0.003477125,0.003650821,0.004283848,0.00001290823,0.0001268732,0.000008054704,0.002019321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8441019,"threshold_uncertainty_score":0.9981739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058937044210294,"score_gpt":0.2637541232314276,"score_spread":0.2431647527893247,"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."}}