{"id":"W2972635417","doi":"10.1136/bmj.l4256","title":"Towards inclusive migrant healthcare","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; University of Alberta","funders":"","keywords":"Health care; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002612769,0.00008822666,0.0001470178,0.0000574446,0.00006902935,0.00000767034,0.0001133753,0.000107986,0.003123953],"category_scores_gemma":[0.00001938778,0.00007831685,0.00005035886,0.0001178516,0.00001400588,0.00003373038,0.00002469793,0.0001352732,0.005604323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000388856,"about_ca_system_score_gemma":0.0001377692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361772,"about_ca_topic_score_gemma":0.001767197,"domain_scores_codex":[0.9989735,0.0001038045,0.0002522949,0.0002246265,0.0001483428,0.0002974211],"domain_scores_gemma":[0.9993029,0.00003601102,0.00008089808,0.000372268,0.00006781582,0.0001401575],"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":[0.0004332927,0.0002365345,0.1179438,0.0003133087,0.00008291038,0.00006156821,0.08566771,0.000004083176,0.00007158778,0.1242131,0.5728801,0.09809206],"study_design_scores_gemma":[0.00116261,0.0003104318,0.4456978,0.0000318617,0.000007188906,0.0000481466,0.002688416,0.00002607527,0.00003766525,0.00201869,0.5477814,0.000189767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913596,0.0009830761,0.0000539933,0.03461507,0.001989739,0.0009074148,0.0000314756,0.00008096029,0.06997864],"genre_scores_gemma":[0.9866214,0.000008878489,0.0002187364,0.005493002,0.0004106929,0.00006908453,0.00003020649,0.00001390326,0.00713411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.327754,"threshold_uncertainty_score":0.9977874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962641960052514,"score_gpt":0.3905800379786284,"score_spread":0.3609536183781032,"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."}}