{"id":"W6942422533","doi":"10.1371/journal.pone.0287437.s002","title":"Study data sources.","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; Government (linguistics); Syrian refugees; Health care; Odds ratio; Cohort; Logistic regression","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":[],"category_scores_codex":[0.00384122,0.001013611,0.001976529,0.007581424,0.001778954,0.002183151,0.003129989,0.001644825,0.27467],"category_scores_gemma":[0.02432956,0.001071874,0.0009753364,0.01418734,0.0002992344,0.001393436,0.001924359,0.001847369,0.08519952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006198953,"about_ca_system_score_gemma":0.03118764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2650193,"about_ca_topic_score_gemma":0.2419801,"domain_scores_codex":[0.9968736,0.0004830687,0.001050387,0.0005535102,0.0006098739,0.0004296125],"domain_scores_gemma":[0.9822932,0.003391221,0.001527977,0.001001182,0.01056475,0.001221634],"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":[0.0002683486,0.00005449566,0.006329933,0.003454993,0.00006437954,0.00008103267,0.0002704143,0.00008489309,0.00004069177,0.0009396679,0.9709319,0.01747933],"study_design_scores_gemma":[0.0009287845,0.00005890059,0.03492553,0.00789663,0.0001543764,0.0001272027,0.001377716,0.0002838194,0.0001132597,0.001653634,0.9524119,0.00006816258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004671578,0.0003201668,0.0002140628,0.0002947909,0.0000915773,0.001275175,0.9890941,0.00006985036,0.00817316],"genre_scores_gemma":[0.007123075,0.002171179,0.003085198,0.001484837,0.0001259285,0.02584706,0.9390909,0.0002271838,0.02084468],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.72533,"threshold_uncertainty_score":0.9188627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3019628708780071,"score_gpt":0.4394905760288784,"score_spread":0.1375277051508713,"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."}}