{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001832479,0.000308242,0.000308066,0.0004342015,0.002084901,0.002939088,0.0007682772,0.0007996506,0.01034235],"category_scores_gemma":[0.006026872,0.0002042717,0.0002300292,0.0002642318,0.0008658643,0.001716284,0.004676344,0.0009449539,0.00286275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015486,"about_ca_system_score_gemma":0.001451991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004945399,"about_ca_topic_score_gemma":0.001997676,"domain_scores_codex":[0.998404,0.0007435008,0.00004355352,0.0002557391,0.0001922291,0.0003610061],"domain_scores_gemma":[0.9960728,0.001525407,0.0004605648,0.0003872525,0.0003701123,0.001183819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004839518,0.003772912,0.06975797,0.000584702,0.00002230853,0.002143194,0.3888592,0.0007257148,0.0189531,0.01906906,0.009499637,0.4861283],"study_design_scores_gemma":[0.0001213359,0.004626827,0.06975037,0.0009502202,0.00005534063,0.003547821,0.3856893,0.002116832,0.02582577,0.01881154,0.4883585,0.0001460571],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218343,0.0003907308,0.01891704,0.001162906,0.00009123848,0.0002994951,0.00009946893,0.0002312616,0.05697361],"genre_scores_gemma":[0.9667227,0.0002065091,0.009609433,0.0003032423,0.00001920128,0.000255082,0.00007491741,0.00005073344,0.02275807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034235,"threshold_uncertainty_score":0.03459865,"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."}}