{"id":"W3202312604","doi":"10.5694/mja2.51278","title":"OPTIMISE: a pragmatic stepped wedge cluster randomised trial of an intervention to improve primary care for refugees in Australia","year":2021,"lang":"en","type":"article","venue":"The Medical Journal of Australia","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Department of Health, State Government of Victoria; Royal Australian College of General Practitioners; McGill University; Monash University; La Trobe University; Medical Research Council; University of Ottawa; U.S. Department of Health and Human Services","keywords":"Refugee; Medicine; Intervention (counseling); Mental health; Interpreter; Health care; Cluster randomised controlled trial; Family medicine; Nursing; Psychiatry; Geography; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002903362,0.0001494747,0.0005765866,0.0001382695,0.00004318847,0.00002326971,0.0003579337,0.0002180714,0.001326039],"category_scores_gemma":[0.0007227135,0.0001006414,0.0002907221,0.0001921094,0.00007282892,0.0001102303,0.00002827561,0.0004614046,0.00001412818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009378928,"about_ca_system_score_gemma":0.0002541429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974797,"about_ca_topic_score_gemma":0.0009196208,"domain_scores_codex":[0.9965289,0.0008892645,0.001530935,0.000184114,0.0005423373,0.00032446],"domain_scores_gemma":[0.9980444,0.0003879452,0.00058686,0.0002873833,0.0003127297,0.0003807011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8301189,0.004761005,0.0006469357,0.003718285,0.0008699798,0.0005037497,0.06069378,0.000125715,0.002674841,0.001117389,0.02710364,0.06766581],"study_design_scores_gemma":[0.9342961,0.009482685,0.03473934,0.001981067,0.0005969623,0.0004863066,0.00973862,0.00007889516,0.002371151,0.00120277,0.004607252,0.0004188415],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932543,0.0001467867,0.0009433886,0.001873826,0.002096432,0.001595106,0.00002794148,0.000005121037,0.00005710575],"genre_scores_gemma":[0.9955587,0.000006556857,0.00137942,0.0002191751,0.0007013832,0.00009682223,0.00004044474,0.00001561444,0.001981905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1041772,"threshold_uncertainty_score":0.9995869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705392431926732,"score_gpt":0.4066857828777439,"score_spread":0.3696318585584766,"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."}}