{"id":"W4318570108","doi":"10.1002/trtr.2184","title":"In and Out of the Unknown: Lessons from Immigrant Families Promoting Multiliteracies During the <scp>COVID</scp>‐19 Pandemic","year":2023,"lang":"en","type":"article","venue":"The Reading Teacher","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Grandparent; Immigration; Mainstream; Literacy; Family literacy; Psychology; Pandemic; Pedagogy; Developmental psychology; Coronavirus disease 2019 (COVID-19); Medicine; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193943,0.0001030213,0.0001478542,0.00006910149,0.0005401124,0.00006675354,0.0004863114,0.00008917717,0.000004797706],"category_scores_gemma":[0.00170415,0.00005262774,0.00004924955,0.0004507082,0.0005528132,0.0001293252,0.0003058155,0.0002630573,0.00001078345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006888233,"about_ca_system_score_gemma":0.00005635095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161332,"about_ca_topic_score_gemma":0.006213236,"domain_scores_codex":[0.9989054,0.0002075518,0.0002007972,0.0001879591,0.0002055343,0.0002927711],"domain_scores_gemma":[0.9987696,0.0008461874,0.00009906076,0.0002404555,0.00001583328,0.00002881667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002095888,0.00001441589,0.5290794,0.00001197858,0.00002001319,0.000001774114,0.4619071,0.000003685092,0.002629682,0.002131288,0.0001838133,0.004014665],"study_design_scores_gemma":[0.0005155338,0.000009773632,0.7547392,0.0002189473,0.00002250931,0.00000354009,0.1655823,0.0003168171,0.001027957,0.03533237,0.0421059,0.0001251326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926046,0.0002415139,0.000002499578,0.002961048,0.0001316658,0.0002490625,0.000006494476,0.0001486075,0.003654473],"genre_scores_gemma":[0.9930311,0.0001872279,0.00001351301,0.00006017636,0.00005696184,0.00001728653,0.000001246941,0.000009413282,0.006623003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2963248,"threshold_uncertainty_score":0.4154162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466304811756804,"score_gpt":0.323446017779578,"score_spread":0.2768155366038976,"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."}}