{"id":"W4213318332","doi":"10.1038/s41467-022-28513-3","title":"Using language in social media posts to study the network dynamics of depression longitudinally","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mental Health Research Topics","field":"Psychology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Science Foundation Ireland; Trinity College Dublin; MQ: Transforming Mental Health; Wellcome Trust","keywords":"Depression (economics); Depressive symptoms; Psychology; Construct (python library); Mental health; Mental illness; Psychiatry; Major depressive episode; Clinical psychology; Cognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193427,0.00006177116,0.0001166685,0.00007399621,0.0006847957,0.000007227327,0.001362443,0.00007431114,0.0001863998],"category_scores_gemma":[0.0001258232,0.00005326345,0.00002761221,0.0007700832,0.00005161614,0.00001893062,0.001440066,0.001445228,0.000003761842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227832,"about_ca_system_score_gemma":0.00004952269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671314,"about_ca_topic_score_gemma":0.01553279,"domain_scores_codex":[0.9976495,0.001488475,0.0002284116,0.0001292733,0.0002922658,0.0002121123],"domain_scores_gemma":[0.9980268,0.0006567868,0.00008791275,0.001140833,0.00004848714,0.00003915158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003770538,0.003551521,0.7548792,0.0000183381,0.0001430983,0.00003716553,0.1215346,0.0007638962,0.0001562984,0.05407915,0.005524333,0.05893532],"study_design_scores_gemma":[0.0005015022,0.00008051548,0.9739213,0.00000974647,0.00001668973,0.000007510567,0.02279469,0.0009053946,0.000002542411,0.0005129798,0.001166351,0.00008075915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867338,0.004370834,0.0000353049,0.004532982,0.0003431077,0.0009227748,0.00006310041,0.00001683854,0.002981262],"genre_scores_gemma":[0.9981387,0.000007478321,0.001223972,0.0003061876,0.00006574416,0.0001509521,0.00005892379,0.00001214977,0.00003590112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2190421,"threshold_uncertainty_score":0.8667663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393487005067276,"score_gpt":0.5126970264991059,"score_spread":0.3733483259923783,"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."}}