{"id":"W4281664560","doi":"10.1002/tesq.3161","title":"Digital Literacies in <scp>TESOL</scp>: Mapping Out the Terrain","year":2022,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Library science; Citation; Inclusion (mineral); Columbia university; Media studies; Sociology; Computer science; Anthropology","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":[0.001110081,0.0002124392,0.0002085299,0.004806679,0.006472986,0.02065185,0.0006149339,0.001704107,0.03765744],"category_scores_gemma":[0.005080018,0.0002317341,0.0001408946,0.008853683,0.008556461,0.01392397,0.006185408,0.002853971,0.001946829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008376433,"about_ca_system_score_gemma":0.007625127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04419896,"about_ca_topic_score_gemma":0.07425403,"domain_scores_codex":[0.9991091,0.0003111549,0.00003301338,0.00007753505,0.0001514621,0.0003177321],"domain_scores_gemma":[0.9970994,0.001339758,0.000248674,0.0001519061,0.0004566644,0.0007035781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005367717,0.00008527067,0.01063764,0.0004361944,0.00001308538,0.0005517528,0.1510022,0.0001613785,0.0002771674,0.5501123,0.148876,0.1377933],"study_design_scores_gemma":[0.000005293496,0.00001773191,0.01361946,0.0006116486,0.000005726211,0.0001493222,0.2159142,0.00009327524,0.0002961453,0.025666,0.7436056,0.00001563003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1836803,0.01885475,0.001198884,0.1025616,0.0006216609,0.00004288134,0.001001364,0.0001845554,0.6918539],"genre_scores_gemma":[0.9095982,0.009713225,0.0007808261,0.003558944,0.0003160758,0.00007036012,0.0006376181,0.0001818403,0.0751429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04419896,"threshold_uncertainty_score":0.1259767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357149687598935,"score_gpt":0.2234667665565265,"score_spread":0.1998952696805372,"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."}}