{"id":"W4296240995","doi":"10.7717/peerj.13840","title":"The backbone symptoms of depression: a network analysis after the initial wave of the COVID-19 pandemic in Macao","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Mental Health Research Topics","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Beijing Municipal Science and Technology Commission; Universidade de Macau","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Depression (economics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Psychology; Economics; Internal medicine; Keynesian economics; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00221266,0.00008652035,0.000219696,0.00007243361,0.0003195214,0.000008027767,0.0005570265,0.00005316196,0.003768738],"category_scores_gemma":[0.0001506717,0.0000440251,0.000152141,0.001075266,0.0002428909,0.00001517423,0.0005276497,0.0005477279,0.000007256353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467462,"about_ca_system_score_gemma":0.0001319235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198354,"about_ca_topic_score_gemma":0.001654855,"domain_scores_codex":[0.9968089,0.001625622,0.0004083566,0.000204622,0.0005745633,0.0003779465],"domain_scores_gemma":[0.9977853,0.001152517,0.0001808504,0.0007678726,0.00003179309,0.00008171264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009723566,0.0001027022,0.9779572,0.00003641635,0.0002338166,0.00002037547,0.00417825,0.001113005,0.0000132648,0.0007879682,0.005474198,0.009110426],"study_design_scores_gemma":[0.001109649,0.000147962,0.9431456,0.00001277775,0.0001318328,0.00003943156,0.001820146,0.00134477,0.00001220521,0.002125499,0.05001119,0.00009888615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887186,0.002333942,0.00006180732,0.004707911,0.0005066684,0.0006422488,0.00007539911,0.00001035921,0.00294308],"genre_scores_gemma":[0.9958232,0.00002835103,0.00001115118,0.001780442,0.000101471,0.0003753496,0.000007449085,0.000009540557,0.001863026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04453699,"threshold_uncertainty_score":0.997142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104025406511394,"score_gpt":0.448400298041603,"score_spread":0.3379977573904636,"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."}}