{"id":"W4388033809","doi":"10.2196/37653","title":"Design and Implementation of Survey Quality Control System for Qatar’s First National Mental Health Survey: Case Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar National Library; National Institutes of Health; Hamad Medical Corporation","keywords":"Interview; Data collection; Mental health; Psychological intervention; Survey data collection; Psychology; Data quality; Quality (philosophy); Survey methodology; Scale (ratio); Pandemic; Applied psychology; Medicine; Coronavirus disease 2019 (COVID-19); Engineering; Geography; Operations management; Psychiatry; Statistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1051922,0.0008877377,0.0006889445,0.00341906,0.002810384,0.002156176,0.002906768,0.002145542,0.005696331],"category_scores_gemma":[0.07960809,0.001010833,0.001331184,0.002705677,0.001735549,0.001575726,0.002956985,0.001501214,0.0009861281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132949,"about_ca_system_score_gemma":0.02478404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120331,"about_ca_topic_score_gemma":0.0156728,"domain_scores_codex":[0.8851797,0.09264453,0.005757419,0.005051332,0.006616241,0.004750803],"domain_scores_gemma":[0.9159147,0.03426409,0.01119288,0.008600886,0.02521964,0.004807739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004506884,0.01610977,0.5190361,0.005330044,0.0005555313,0.00444399,0.03910483,0.0144674,0.006124284,0.01115577,0.02289715,0.3562682],"study_design_scores_gemma":[0.008067665,0.05143929,0.5946721,0.005796856,0.001153379,0.003849901,0.08955315,0.08407941,0.02187229,0.006804389,0.1319879,0.0007236502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6553298,0.001205828,0.1331195,0.006071173,0.0004721899,0.186614,0.003671872,0.0007846116,0.012731],"genre_scores_gemma":[0.7286551,0.0004417065,0.1719,0.001639246,0.0001728646,0.09389447,0.001312667,0.00008231308,0.001901682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051922,"threshold_uncertainty_score":0.5563163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7182438067210035,"score_gpt":0.6679796481784167,"score_spread":0.05026415854258681,"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."}}