{"id":"W4231229199","doi":"10.32920/ryerson.14635725.v1","title":"Healthcare for uninsured migrant populations in Ontario: what do nurses need to know?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Health care; Convention; Political science; Medical care; Medicine; Family medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001690456,0.0003048623,0.0004462936,0.0007829078,0.004598541,0.003730857,0.001167376,0.001365061,0.009918876],"category_scores_gemma":[0.00886454,0.0003851694,0.0005161739,0.00198901,0.001468399,0.002689096,0.002671191,0.002197609,0.001099483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04615539,"about_ca_system_score_gemma":0.207494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839028,"about_ca_topic_score_gemma":0.9945498,"domain_scores_codex":[0.9986337,0.0001461903,0.00007610836,0.00007943568,0.0003401721,0.0007244966],"domain_scores_gemma":[0.9904445,0.0006509948,0.0007204436,0.0001447178,0.002332893,0.005706366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001486508,0.0002439289,0.4096664,0.002419494,0.0000833434,0.001278798,0.03290255,0.0002471337,0.0003365279,0.003895093,0.362034,0.1867441],"study_design_scores_gemma":[0.00005659782,0.00007884244,0.6283885,0.008227599,0.0001095232,0.0003297566,0.1510672,0.0003441956,0.0001545287,0.001924515,0.2092062,0.0001127017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2096622,0.03594387,0.0004090464,0.6771713,0.002275543,0.0003979918,0.01008923,0.00007700104,0.06397389],"genre_scores_gemma":[0.7780354,0.09480558,0.003303627,0.07597534,0.001126619,0.0006046584,0.00590283,0.0001156576,0.04013036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04615539,"threshold_uncertainty_score":0.3348824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2704763444456047,"score_gpt":0.5260291767761552,"score_spread":0.2555528323305505,"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."}}