{"id":"W2811045939","doi":"10.1002/hbm.24286","title":"Impact of frequency of internet use on development of brain structures and verbal intelligence: Longitudinal analyses","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"Research Institute of Science and Technology for Society; Japan Society for the Promotion of Science; Core Research for Evolutional Science and Technology; Tohoku University","keywords":"Psychology; The Internet; Longitudinal study; Neuroscience; Computer science; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001368252,0.0002820292,0.0002301387,0.0008671568,0.0003423889,0.0005501775,0.000301645,0.000355184,0.0009563277],"category_scores_gemma":[0.002659735,0.0002884469,0.0005550639,0.0006427125,0.0002436151,0.0004206384,0.000533748,0.0005981232,0.0001425308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331663,"about_ca_system_score_gemma":0.0003958553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007210863,"about_ca_topic_score_gemma":0.00866164,"domain_scores_codex":[0.999499,0.0001519263,0.00005026337,0.000131745,0.00008549639,0.00008152506],"domain_scores_gemma":[0.9975759,0.0005316755,0.00101485,0.0002792106,0.0002978938,0.0003004731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008886937,0.00004849133,0.9979541,0.000005290486,0.0001048719,0.00004139247,0.0001066754,0.00003625393,0.0002870156,0.00001361622,0.00002991918,0.001283441],"study_design_scores_gemma":[9.165476e-7,0.00006662985,0.9995967,0.000001634552,0.00002315219,0.00004749607,0.00003989703,0.00008364535,0.00007625407,0.000006570864,0.00005590862,0.00000122938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991394,0.0001746091,0.0001426977,0.00001531076,0.000002558108,0.0000065024,0.0002902504,0.00000531306,0.0002233195],"genre_scores_gemma":[0.998833,0.00009275777,0.0002498417,0.000009217923,0.000004145989,0.00002208329,0.0004604351,0.000004421795,0.0003240647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007210863,"threshold_uncertainty_score":0.01433778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442736426736172,"score_gpt":0.4051889920714968,"score_spread":0.2609153493978796,"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."}}