{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004464087,0.002130108,0.003405725,0.0009198634,0.0009767147,0.001462569,0.001331926,0.003078428,0.008295842],"category_scores_gemma":[0.008263267,0.001097036,0.002590161,0.0005093073,0.002065488,0.001589697,0.001749053,0.002428283,0.000671665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204115,"about_ca_system_score_gemma":0.004007616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033553,"about_ca_topic_score_gemma":0.008060676,"domain_scores_codex":[0.9951806,0.003354016,0.0002815385,0.000499767,0.0003007584,0.0003833693],"domain_scores_gemma":[0.9972268,0.0009849865,0.000659954,0.0002071781,0.0001411091,0.0007799832],"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":[0.9307756,0.0208744,0.0008071481,0.004697581,0.001229028,0.0001139144,0.0004323184,0.000878673,0.001068045,0.000440788,0.001113897,0.03756847],"study_design_scores_gemma":[0.9297487,0.06619838,0.001850885,0.000291307,0.0003086084,0.00002333095,0.00009197232,0.0004138672,0.0001251739,0.000300956,0.0006221903,0.00002477309],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363751,0.004782932,0.002333649,0.002588661,0.001527736,0.04776092,0.0007616468,0.0003224293,0.003546981],"genre_scores_gemma":[0.915704,0.001827221,0.01160621,0.002030492,0.0005088121,0.06507099,0.0002350692,0.000022651,0.002994523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008295842,"threshold_uncertainty_score":0.02775234,"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."}}