{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01351328,0.0009064435,0.0007802485,0.0009340859,0.03793168,0.009077596,0.003511263,0.002672778,0.005723538],"category_scores_gemma":[0.01363856,0.0009017332,0.0007063649,0.001501909,0.02517751,0.005089295,0.01901503,0.005538586,0.0005148322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05064112,"about_ca_system_score_gemma":0.0734367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4346305,"about_ca_topic_score_gemma":0.7831829,"domain_scores_codex":[0.9827018,0.01145947,0.0002877927,0.0006705461,0.0008629555,0.004017393],"domain_scores_gemma":[0.9815474,0.006244472,0.0009927941,0.0006248755,0.00141526,0.009175195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002381696,0.00003931354,0.002028394,0.0001253865,0.000004650705,0.001056021,0.9904315,0.00004426214,0.0001959676,0.0009251039,0.001693264,0.003432374],"study_design_scores_gemma":[0.000003511977,0.00003129916,0.0008610439,0.00009919872,0.000003761927,0.00007345584,0.9888479,0.00002680342,0.00004928202,0.0001333118,0.009862658,0.000007785377],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528743,0.001930737,0.002102873,0.01920471,0.0003094832,0.0006272073,0.0001725124,0.00006434017,0.02271391],"genre_scores_gemma":[0.9900445,0.001536742,0.001853094,0.001492884,0.00004010224,0.0002422311,0.00007321114,0.00004000602,0.004677227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5653695,"threshold_uncertainty_score":0.8642013,"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."}}