{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008089322,0.001184474,0.0007706482,0.0008359684,0.02301801,0.005524702,0.003078247,0.003339545,0.00399627],"category_scores_gemma":[0.009608127,0.0006513859,0.0007743458,0.0007773683,0.006774434,0.004084769,0.0101576,0.005421238,0.0006379669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005885258,"about_ca_system_score_gemma":0.01505714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07350001,"about_ca_topic_score_gemma":0.2123514,"domain_scores_codex":[0.995533,0.002689676,0.00008067385,0.000164995,0.0002152762,0.001316396],"domain_scores_gemma":[0.9951882,0.001870941,0.0002417792,0.0001911593,0.0005582412,0.001949527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003743881,0.0002338344,0.004188112,0.0001589956,0.000009748686,0.003766211,0.968178,0.00004147321,0.0003230748,0.0006141142,0.005001548,0.01744749],"study_design_scores_gemma":[0.000005575791,0.00007721337,0.001260382,0.0001334419,0.000005823684,0.0002871304,0.9898967,0.00001480128,0.00008185294,0.0001767609,0.008047771,0.0000126175],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564556,0.001738156,0.0004681057,0.02267475,0.0004512531,0.000256607,0.0001048634,0.00005260482,0.01779804],"genre_scores_gemma":[0.9823528,0.003538993,0.001619374,0.00470416,0.0001126299,0.0002779074,0.00008093322,0.00005173328,0.007261463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07350001,"threshold_uncertainty_score":0.1461444,"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."}}