{"id":"W4411074606","doi":"10.1007/s00787-025-02777-8","title":"Excessive digital devices use as an intermediate variable between heterogeneous adverse childhood experiences and psychopathology in US adolescents: a latent class cross-sectional analysis","year":2025,"lang":"en","type":"article","venue":"European Child & Adolescent Psychiatry","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Latent class model; Child and adolescent psychiatry; Psychopathology; Psychology; Adverse Childhood Experiences; Class (philosophy); Developmental psychology; Latent variable; Clinical psychology; Psychiatry; Mental health; Computer science","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":[0.001336994,0.0005177939,0.0004099895,0.001421307,0.00135449,0.001977446,0.0006687387,0.001022098,0.00266833],"category_scores_gemma":[0.00248299,0.0009367812,0.001524627,0.001542945,0.0008980394,0.0009780304,0.0016704,0.002108403,0.0004378206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006003247,"about_ca_system_score_gemma":0.00081992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786536,"about_ca_topic_score_gemma":0.026666,"domain_scores_codex":[0.9990137,0.0003489727,0.0001135662,0.0001807981,0.0001198066,0.0002231643],"domain_scores_gemma":[0.9966962,0.0005057736,0.001489226,0.0004112266,0.0002457135,0.0006518928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006691302,0.0001480523,0.9990057,0.000003562198,0.00006731985,0.00002548787,0.0002711562,0.00002040681,0.00008265138,0.00002361657,0.00003082968,0.0002542704],"study_design_scores_gemma":[0.000003284198,0.00008487428,0.9984959,0.000005831913,0.00003391145,0.00004395462,0.00111122,0.0001008198,0.00003243602,0.00001507936,0.00006896526,0.000003737147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994935,0.00005172644,0.00005536496,0.00002315835,0.000003940895,0.000009851115,0.0001752622,0.000001938551,0.0001852941],"genre_scores_gemma":[0.9992062,0.00005457119,0.00007090007,0.00001575507,0.000004578467,0.00001704049,0.0004083383,0.000002757029,0.0002199265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786536,"threshold_uncertainty_score":0.03552276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145846662262774,"score_gpt":0.2820033420120512,"score_spread":0.2705448753894235,"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."}}