{"id":"W4225391134","doi":"10.2196/35540","title":"Digital Technology and Media Use by Adolescents: Latent Class Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Screen time; Social media; Digital media; Psychology; Psychological intervention; Population; Adolescent health; Empathy; Developmental psychology; Mental health; The Internet; Medicine; Social psychology; Environmental health; Psychiatry; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000189733,0.0001002833,0.0001689858,0.0006297682,0.0006698552,0.0002908274,0.0001565022,0.0000933166,0.00003230194],"category_scores_gemma":[0.0001840523,0.0001068525,0.00004518181,0.002148379,0.0001478051,0.0002584787,0.0004311095,0.0002000761,0.000002198926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003992526,"about_ca_system_score_gemma":0.00003970495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004600732,"about_ca_topic_score_gemma":0.00009755872,"domain_scores_codex":[0.9989037,0.00002478437,0.0002004359,0.0002882788,0.0002795034,0.0003033127],"domain_scores_gemma":[0.9995742,0.00009043644,0.0001144995,0.0000956712,0.00003726711,0.00008795743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003429432,0.0000444242,0.977944,0.000004870841,0.00002174312,0.000005144766,0.000612964,0.000001231281,0.000001876488,0.002571347,0.001353876,0.01743505],"study_design_scores_gemma":[0.001031794,0.00009964505,0.4948654,0.0000121031,0.0003318826,0.000008887213,0.009735798,0.0003097626,0.000007563164,0.005631703,0.4869695,0.0009959743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996467,0.0006401614,0.00004934377,0.0006891294,0.0001243957,0.0001421367,0.00008565606,0.0001467693,0.001655409],"genre_scores_gemma":[0.9987802,0.0003042012,0.00003040928,0.00006131425,0.0000567617,0.00002093788,0.00007280802,0.000007269182,0.0006660931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4856156,"threshold_uncertainty_score":0.5152053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620086359267876,"score_gpt":0.2561461694871371,"score_spread":0.2399453058944584,"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."}}