{"id":"W6885891610","doi":"10.1371/journal.pone.0287437.s001","title":"Database linkage and cohort selection flowchart.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Odds; Cohort; Government (linguistics); Hazard ratio; Logistic regression; Odds ratio; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02818297,0.001310384,0.002532376,0.01001089,0.001760697,0.003015996,0.002209715,0.001713375,0.3575973],"category_scores_gemma":[0.08265695,0.001529052,0.001645931,0.01172923,0.00042716,0.00194224,0.002402625,0.001854355,0.05299413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002299943,"about_ca_system_score_gemma":0.01708469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712158,"about_ca_topic_score_gemma":0.02195293,"domain_scores_codex":[0.9840999,0.005364477,0.005194022,0.00317872,0.001479427,0.0006833932],"domain_scores_gemma":[0.9612949,0.01551791,0.003484848,0.007538958,0.01083246,0.001330967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001243441,0.0001925288,0.007451535,0.006895103,0.0002675699,0.0001476184,0.000678164,0.0007055766,0.0002636689,0.007183061,0.908835,0.0661368],"study_design_scores_gemma":[0.005285028,0.0004063768,0.02214075,0.01100421,0.0004301063,0.0003071257,0.001113014,0.002887369,0.000526756,0.0166149,0.93905,0.0002343311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001683104,0.0004631519,0.01542791,0.0009607729,0.0005913044,0.03908848,0.9309028,0.001904054,0.008978429],"genre_scores_gemma":[0.01848063,0.0015266,0.07435375,0.003070048,0.000278276,0.5011274,0.3783354,0.001248998,0.02157894],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6424026,"threshold_uncertainty_score":0.9163095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05732168798636562,"score_gpt":0.3485329651799955,"score_spread":0.2912112771936299,"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."}}