{"id":"W4413716299","doi":"10.1101/2025.08.25.672107","title":"Longitudinal Associations Between Screen Time, Brain Development, and Language Outcomes in Early Childhood","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia; Alberta Children's Hospital; Western University","funders":"Canadian Institutes of Health Research; Alberta Children's Hospital Research Institute; Canada Research Chairs","keywords":"Brain development; Developmental psychology; Psychology; Early childhood; Language development; Longitudinal study; Cognitive psychology; Medicine; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007341121,0.0002135762,0.0001993159,0.001183965,0.0004737125,0.0007946243,0.0002930533,0.00041701,0.001380463],"category_scores_gemma":[0.002868942,0.0002383042,0.000338602,0.0008353422,0.0003061514,0.0003890366,0.0007245112,0.0006727541,0.000244668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386483,"about_ca_system_score_gemma":0.0004532544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015311,"about_ca_topic_score_gemma":0.02517806,"domain_scores_codex":[0.9997095,0.00004801733,0.00002493847,0.00006551954,0.00007612832,0.00007584933],"domain_scores_gemma":[0.9978848,0.0003232739,0.0009438924,0.0001431779,0.0003509373,0.0003538208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006312482,0.00004207515,0.9970958,0.000005936328,0.00002101823,0.00009953816,0.000279839,0.00005173816,0.0004515477,0.00005150506,0.00007056839,0.001767281],"study_design_scores_gemma":[4.230804e-7,0.00002596188,0.999582,0.000003372302,0.000004635257,0.00005006598,0.0001183182,0.00002998533,0.0001066802,0.00001767157,0.00005938569,0.00000157221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993768,0.00008597748,0.00004408899,0.00001685274,0.000001441209,0.000001888295,0.0002666265,0.000003218931,0.0002031032],"genre_scores_gemma":[0.9991913,0.0001044255,0.00009817714,0.000007665497,0.000001688023,0.000007546618,0.0003129823,0.000002240154,0.000273971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02015311,"threshold_uncertainty_score":0.04007161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661836902010982,"score_gpt":0.2601950510703188,"score_spread":0.2435766820502089,"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."}}