{"id":"W4410233320","doi":"10.18357/ijcyfs161202522341","title":"HOW DOES THE COVID-19 PANDEMIC AFFECT YOUNG CHILDREN’S SCREEN TIME? THE ROLE OF BIOECOLOGICAL FACTORS","year":2025,"lang":"en","type":"article","venue":"International Journal of Child Youth and Family Studies","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Developmental psychology; Virology; Medicine; Communication; Internal medicine; Infectious disease (medical specialty); Outbreak; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000695148,0.0002174399,0.0002343047,0.0006899067,0.0007216223,0.001515894,0.0003345438,0.0004569455,0.003079217],"category_scores_gemma":[0.00466679,0.000193575,0.0004404146,0.0009665682,0.0005990826,0.0009051299,0.0008641947,0.0008687671,0.000192126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112963,"about_ca_system_score_gemma":0.00145033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04384734,"about_ca_topic_score_gemma":0.06383821,"domain_scores_codex":[0.9992994,0.000184598,0.00004797883,0.0001012258,0.00009098418,0.0002757912],"domain_scores_gemma":[0.9979742,0.0006249344,0.0007749326,0.00007032815,0.0001743812,0.0003812019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002659844,0.00005521756,0.9887781,0.00003560066,0.0000272853,0.0002528405,0.004565788,0.00003487849,0.00009682467,0.0002903138,0.0003838263,0.005452825],"study_design_scores_gemma":[8.429044e-7,0.00002148586,0.9905775,0.00004591954,0.00001434534,0.000098378,0.008268856,0.00003942232,0.00004607557,0.0000540006,0.0008284674,0.000004734725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950978,0.0008209015,0.00006889836,0.0007871615,0.00002161812,0.00001269457,0.0003286907,0.000003305141,0.002858814],"genre_scores_gemma":[0.9990063,0.0005230059,0.00005811451,0.00006002592,0.000007339622,0.000009839687,0.0001204689,0.000001882982,0.0002129673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04384734,"threshold_uncertainty_score":0.08718419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228541136140538,"score_gpt":0.3175084050684452,"score_spread":0.2852229937070398,"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."}}