{"id":"W4400404929","doi":"10.1101/2024.07.08.24310056","title":"The National Psychiatric Morbidity Survey of Pakistan (2022): Prevalence, socio-demographic and disability correlates","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health and Well-being Studies","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Psychiatry; Medicine; Demography; Geography; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00569198,0.0003093693,0.0004614872,0.0001069142,0.0003532585,0.00004728648,0.000419785,0.0003782802,0.0001093054],"category_scores_gemma":[0.0006545765,0.0002197951,0.0001816175,0.0004659507,0.001058363,0.00001547403,0.0005809977,0.001293253,0.00004612636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006414067,"about_ca_system_score_gemma":0.0002116473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645468,"about_ca_topic_score_gemma":0.0009962288,"domain_scores_codex":[0.9963891,0.001100304,0.0008083,0.0007865293,0.0004947167,0.0004210455],"domain_scores_gemma":[0.9963766,0.002372144,0.000331198,0.0005335869,0.0002839185,0.0001025742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006060758,0.0001187385,0.980563,0.001213296,0.0002273617,0.000001278709,0.0006857882,0.000002469313,7.022866e-7,0.003619744,0.01230535,0.001201702],"study_design_scores_gemma":[0.00015449,0.00005101679,0.9587862,0.00007040364,0.00008293273,0.000002489205,0.00009198856,0.00003971247,5.969794e-7,0.03952859,0.001011017,0.0001805592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499211,0.03722164,0.000007932786,0.002206746,0.004713228,0.0005938067,0.0006300795,0.00008300057,0.004622496],"genre_scores_gemma":[0.9936405,0.004994662,0.00001933017,0.00009388788,0.0002357453,0.0001572309,0.0000334826,0.00002999109,0.0007952087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04371939,"threshold_uncertainty_score":0.8962984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03922389471285738,"score_gpt":0.3746069057135005,"score_spread":0.3353830110006432,"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."}}