{"id":"W6920698237","doi":"10.6084/m9.figshare.11296646.v2","title":"MOESM1 of Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Mental health; Quality (philosophy); Data collection; Mental illness; Smartphone app","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01648646,0.003293252,0.01411899,0.01655768,0.00123666,0.003492289,0.00337413,0.002403561,0.1204585],"category_scores_gemma":[0.08398425,0.001446375,0.0250904,0.01360423,0.0007669013,0.004254365,0.003942033,0.00171599,0.003399593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003857624,"about_ca_system_score_gemma":0.009439334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008005887,"about_ca_topic_score_gemma":0.02730284,"domain_scores_codex":[0.9911045,0.002363156,0.003885087,0.0008644875,0.001310145,0.0004725901],"domain_scores_gemma":[0.9595562,0.02966368,0.006003986,0.001050357,0.003359131,0.0003666782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0008483386,0.00001781884,0.001266803,0.962033,0.02047941,0.00005528854,0.0001366196,0.0001026345,0.0001166406,0.0003578161,0.007469542,0.007116128],"study_design_scores_gemma":[0.004024065,0.0004535389,0.01579138,0.6324266,0.2982737,0.000231748,0.00048566,0.0004658342,0.0004043796,0.001818937,0.04547924,0.0001448731],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01254157,0.3271545,0.006132281,0.003640429,0.001051021,0.05303557,0.5888315,0.001122979,0.006490156],"genre_scores_gemma":[0.1490621,0.3134995,0.05894642,0.004677126,0.0008768419,0.3407114,0.1161831,0.001027542,0.01501605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1204585,"threshold_uncertainty_score":0.4029738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411909962726374,"score_gpt":0.3239689263389262,"score_spread":0.2798498267116624,"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."}}