{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001207356,0.00007906454,0.00009511963,0.0000149391,0.0001940586,0.00004208455,0.00004383807,0.00002529549,0.0001087564],"category_scores_gemma":[0.00001973018,0.00004670848,0.00001527524,0.0001754381,0.00004414895,0.00004106752,0.0000324918,0.0001114861,0.00001029511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606466,"about_ca_system_score_gemma":0.00014867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3617936,"about_ca_topic_score_gemma":0.35201,"domain_scores_codex":[0.9993595,0.000015953,0.00009425093,0.0001252498,0.0001374706,0.0002676062],"domain_scores_gemma":[0.9997015,0.0000426267,0.00001927736,0.00008999387,0.00001783756,0.0001287936],"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":[0.0001962318,0.0001232098,0.1469419,0.000998575,0.000918313,0.001931157,0.006676837,0.00007704503,0.02688984,0.03123664,0.7046072,0.07940301],"study_design_scores_gemma":[0.005558808,0.0006842065,0.1392507,0.001177093,0.0003704114,0.004561777,0.08999868,0.002310798,0.04737194,0.0220002,0.6848454,0.001870053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721876,0.0002313755,0.00003889159,0.01646737,0.0002771364,0.0001110824,0.0000260217,0.0001139799,0.01054655],"genre_scores_gemma":[0.9904842,0.00002938996,0.00001305877,0.003469889,0.00006045414,0.000009941015,0.000007083906,0.000005749691,0.005920263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08332184,"threshold_uncertainty_score":0.6598141,"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."}}