{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003686827,0.0001211923,0.0002674409,0.0003276682,0.0001391206,0.00003081046,0.0002468814,0.00009377007,0.0002026033],"category_scores_gemma":[0.0005388823,0.0001059126,0.00006924704,0.0003354455,0.0008596354,0.0001588594,0.0001065657,0.00007815887,0.000001790797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007187058,"about_ca_system_score_gemma":0.0001584336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009197337,"about_ca_topic_score_gemma":0.001256736,"domain_scores_codex":[0.9988482,0.00005391155,0.0004393896,0.0002073508,0.0002503084,0.0002008399],"domain_scores_gemma":[0.9991978,0.0002241637,0.0002585399,0.0001393227,0.0001307616,0.00004939871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006260729,0.0001630547,0.5800509,0.0001020401,0.0004359432,0.000004894341,0.1047818,0.000005181631,0.07441516,0.2195522,0.001808735,0.01861756],"study_design_scores_gemma":[0.0001594083,0.0002248038,0.9658285,0.000164614,0.00000576723,0.000001033449,0.002088862,0.000005950249,0.007655979,0.02342929,0.0002744623,0.0001613528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945042,0.00003528811,0.001188197,0.00006986067,0.00003989129,0.0001096076,0.000004699888,0.00002450261,0.004023745],"genre_scores_gemma":[0.9981947,0.000002393176,0.001568673,0.00002494621,0.00003473718,0.000001280402,0.000006043146,0.000005748546,0.0001614893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3857776,"threshold_uncertainty_score":0.4318989,"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."}}