{"id":"W6888991409","doi":"10.25384/sage.20499387","title":"sj-pdf-1-hsr-10.1177_13558196221109148 – Supplemental Material for Immigrants’ and refugees’ experiences of access to health and social services during the COVID-19 pandemic in Toronto, Canada","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Social Welfare; Health services; Coronavirus disease 2019 (COVID-19); Health policy; Health services research; Public health; Social policy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009936814,0.0009618748,0.0008006655,0.002422814,0.00248359,0.004025754,0.002000753,0.001657125,0.8873616],"category_scores_gemma":[0.008212132,0.0006606156,0.0005541235,0.005321927,0.0006851635,0.001328376,0.002014673,0.001210755,0.5394598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01161082,"about_ca_system_score_gemma":0.01913276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7895382,"about_ca_topic_score_gemma":0.8778597,"domain_scores_codex":[0.9988666,0.00004915493,0.00005472193,0.00008211327,0.0006748321,0.0002726763],"domain_scores_gemma":[0.989598,0.002004417,0.0002614454,0.0004939856,0.006013324,0.001628698],"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":[0.00001839373,0.00002953699,0.0003599811,0.00007356143,0.000002158946,0.00002514561,0.00006333221,0.00008363559,0.00005400893,0.0003130608,0.9917834,0.007193692],"study_design_scores_gemma":[0.00006771782,0.00002078373,0.00919902,0.0002825036,0.000005903195,0.00004581527,0.0005606434,0.0002500383,0.0003031844,0.0007323833,0.9884924,0.00003958581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001179041,0.000228429,0.0007349746,0.002340295,0.0006775956,0.0003546599,0.6576216,0.004145665,0.3327178],"genre_scores_gemma":[0.01246969,0.0007808325,0.003072316,0.001419657,0.0002834971,0.0004219218,0.3455913,0.004220197,0.6317405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8873616,"threshold_uncertainty_score":0.4234025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379185242925773,"score_gpt":0.3094160898970409,"score_spread":0.2856242374677832,"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."}}