{"id":"W6958439284","doi":"10.6084/m9.figshare.24144081","title":"Additional file 2 of Electronic health records identify timely trends in childhood mental health conditions","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Mental health; Health records; Electronic health record; Medical record; Data collection; Confidentiality","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001841644,0.001145735,0.001290075,0.007371322,0.0009282797,0.002286378,0.001642558,0.001816472,0.8823376],"category_scores_gemma":[0.04663909,0.0007941513,0.00130164,0.009639326,0.0003737812,0.00225069,0.001669097,0.0009632867,0.203961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145062,"about_ca_system_score_gemma":0.002928951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013579,"about_ca_topic_score_gemma":0.01958727,"domain_scores_codex":[0.9985323,0.000240732,0.0003757158,0.0003226558,0.0002930061,0.0002355426],"domain_scores_gemma":[0.9517509,0.03416629,0.004743699,0.002906561,0.00499165,0.001440878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002796073,0.000121402,0.005541381,0.002331059,0.00006182089,0.00005587641,0.00006428522,0.0002996581,0.00005556809,0.0007882728,0.97997,0.01043103],"study_design_scores_gemma":[0.005867004,0.0003265724,0.1007433,0.006163034,0.0003563369,0.0006243514,0.001111302,0.002433492,0.0007619062,0.01184794,0.8695533,0.0002114313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002337617,0.00001335805,0.0001222249,0.00008072295,0.00003084481,0.0000779359,0.9977876,0.0001447166,0.001508712],"genre_scores_gemma":[0.00890794,0.0001494474,0.003505526,0.0008704348,0.0001834918,0.002094419,0.9712427,0.000550919,0.01249516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8823376,"threshold_uncertainty_score":0.1678311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04807366663675194,"score_gpt":0.4072888808938336,"score_spread":0.3592152142570816,"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."}}