{"id":"W7084027558","doi":"10.64628/aam.ed5t57efn","title":"By helping Rohingya women, Canada can do the right thing and demonstrate global leadership","year":2023,"lang":"en","type":"article","venue":"","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Government (linguistics); Globalization; Refugee; Foreign policy; Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002632589,0.0007267171,0.0004109161,0.0009722692,0.01047458,0.006540535,0.001311125,0.004965606,0.05058094],"category_scores_gemma":[0.009036393,0.0004602543,0.0007661215,0.0007412791,0.003398237,0.001613261,0.00497895,0.006677136,0.006576329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03471763,"about_ca_system_score_gemma":0.2554051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9321913,"about_ca_topic_score_gemma":0.9805398,"domain_scores_codex":[0.9958161,0.0004036779,0.00006207491,0.000173814,0.001105902,0.002438451],"domain_scores_gemma":[0.978969,0.0005073041,0.0003612586,0.0002072236,0.003737374,0.01621782],"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":[0.00006834877,0.0001244369,0.01409274,0.0001748769,0.00003206004,0.0006593284,0.001571581,0.0001838757,0.0009187523,0.007017069,0.9063633,0.06879361],"study_design_scores_gemma":[0.00004696357,0.00005804706,0.01475448,0.0003369514,0.00002161475,0.000230721,0.006962668,0.0001473909,0.0003688735,0.001746547,0.9752719,0.00005375637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02112014,0.007583716,0.001483787,0.7389117,0.01774044,0.0003135347,0.001250059,0.0009001314,0.2106965],"genre_scores_gemma":[0.1274806,0.008607852,0.007544295,0.2417329,0.001955107,0.0001977719,0.0008300331,0.0004550573,0.6111964],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06780875,"threshold_uncertainty_score":0.2518952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066429708872201,"score_gpt":0.2391211122828912,"score_spread":0.2184568151941692,"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."}}