{"id":"W4406705880","doi":"10.5334/aogh.4583","title":"Building Responsive Intersectoral Initiatives for Newcomers in Toronto: Learning from Service Providers’ Experiences in the Context of COVID‑19","year":2025,"lang":"en","type":"article","venue":"Annals of Global Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Service provider; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Service (business); Public relations; Business; Medicine; Political science; Geography; Virology; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001058008,0.0001128381,0.0003425108,0.00006470654,0.00008427502,0.000007656849,0.0002433539,0.00007850696,0.00007168675],"category_scores_gemma":[0.0004653925,0.00009539539,0.00005449312,0.0004115876,0.0000745611,0.00016439,0.00002125259,0.0001230357,8.630018e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165784,"about_ca_system_score_gemma":0.0009114678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3035437,"about_ca_topic_score_gemma":0.3855893,"domain_scores_codex":[0.9977676,0.0008689043,0.0006343157,0.0002525691,0.0001268239,0.0003497511],"domain_scores_gemma":[0.998364,0.0009164115,0.0003321011,0.0001654504,0.0001252207,0.00009685272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.004512217,0.0003091744,0.1019305,0.0005075386,0.00005791979,0.000003800445,0.7836618,0.00003166324,0.0000118969,0.08150237,0.009697003,0.01777407],"study_design_scores_gemma":[0.001213451,0.000639285,0.2395071,0.0002001195,0.000002791346,6.084294e-7,0.7526372,0.00006276015,0.00002776897,0.00227457,0.003364158,0.00007010938],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709004,0.006217311,0.0004103816,0.02023305,0.0002700456,0.0008278925,0.00007770467,0.00001103829,0.001052176],"genre_scores_gemma":[0.978883,0.0001428095,0.0001923845,0.02059896,0.0000228169,0.0001324113,0.00001680157,0.000003741947,0.000007056893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1375766,"threshold_uncertainty_score":0.7010941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020378282831513,"score_gpt":0.4898999028560134,"score_spread":0.3878620745728621,"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."}}