{"id":"W7133198964","doi":"10.15173/mujph.v2i1.3768","title":"Technology and Mental Health in Youth in North America","year":2024,"lang":"","type":"article","venue":"McMaster University Journal of Public Health","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mental health; Addiction; Public health; The Internet; Population; Health technology; Physical health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004374476,0.000116365,0.0002699088,0.001183236,0.001234472,0.001146101,0.0002687121,0.00038374,0.00306722],"category_scores_gemma":[0.001098442,0.0001527606,0.0003626774,0.001658722,0.0004367714,0.0007459245,0.0009724749,0.0007915323,0.0001281975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165776,"about_ca_system_score_gemma":0.002714783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1028472,"about_ca_topic_score_gemma":0.2562579,"domain_scores_codex":[0.9997751,0.00004993802,0.00002312499,0.00002662251,0.00006445238,0.00006073618],"domain_scores_gemma":[0.9994072,0.0001186646,0.0001613105,0.00001044225,0.0001488127,0.0001536153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004962051,0.0002291696,0.7927809,0.00309923,0.0001278743,0.001871545,0.03305046,0.00007251601,0.0005554296,0.003324191,0.01649682,0.1483422],"study_design_scores_gemma":[0.000005888775,0.00008884144,0.9235161,0.003047911,0.00008912292,0.001009504,0.04639212,0.00005996014,0.00007588597,0.0005970385,0.02510439,0.00001327947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564691,0.1063614,0.0001107766,0.01305787,0.0003811158,0.00007429424,0.00185717,0.00001941992,0.02166882],"genre_scores_gemma":[0.9224519,0.07235847,0.0002455666,0.002996265,0.0001151639,0.00006292878,0.0005201453,0.000005263036,0.001244367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028472,"threshold_uncertainty_score":0.2044972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230120638847186,"score_gpt":0.2910484237113737,"score_spread":0.2587472173229018,"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."}}