{"id":"W4288038211","doi":"10.1111/chso.12616","title":"‘<scp>COVID</scp> taught me…’: Examining <scp>child‐radio</scp> productions in the <scp>COVID</scp>‐19 pandemic","year":2022,"lang":"en","type":"article","venue":"Children & Society","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ethnography; Sociology; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004255756,0.0007069851,0.0007540688,0.0003054074,0.005477909,0.000521762,0.002742547,0.0005774366,0.00007357299],"category_scores_gemma":[0.005786742,0.000661572,0.0006077951,0.003765865,0.001381164,0.0008014115,0.001083673,0.002343157,0.000121869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279646,"about_ca_system_score_gemma":0.001454606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008758664,"about_ca_topic_score_gemma":0.0007862553,"domain_scores_codex":[0.9929271,0.0008083042,0.0009585419,0.001661356,0.00171778,0.001926931],"domain_scores_gemma":[0.9950048,0.002678286,0.0005681327,0.001155995,0.0001288236,0.0004639385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001030424,0.0004297231,0.5298253,0.00002391666,0.0002233276,0.00001604727,0.1900598,0.000178014,0.00007743308,0.006871578,0.2708799,0.00141393],"study_design_scores_gemma":[0.001325048,0.0001347993,0.213976,0.00002994057,0.0001055897,0.0002054223,0.1466865,0.00003010933,0.0000383644,0.008655699,0.6286467,0.0001659104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422737,0.002994497,0.0001596136,0.001508689,0.00108519,0.001917282,0.000161449,0.001260889,0.04863874],"genre_scores_gemma":[0.9806517,0.001308419,0.0005786761,0.004646938,0.001290818,0.0005233765,0.0004064859,0.0001110031,0.01048253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3577668,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711479647700985,"score_gpt":0.2812261280593452,"score_spread":0.2441113315823354,"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."}}