{"id":"W6884646320","doi":"10.11575/prism/49004","title":"A Case Study of the COVID-19 Pandemic Crisis Response: Serving Racialized Immigrant Communities","year":2021,"lang":"en","type":"other","venue":"Open MIND","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Grassroots; Immigration; Unemployment; State (computer science); Community organization; Tourism; Repurposing","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":[0.003453438,0.0007862899,0.0005296218,0.001208508,0.0300779,0.003646233,0.00254565,0.004030833,0.004388787],"category_scores_gemma":[0.003376996,0.0004845301,0.0005343391,0.001358741,0.00517581,0.001900394,0.006883901,0.003053556,0.000398552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005859205,"about_ca_system_score_gemma":0.009293245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06128632,"about_ca_topic_score_gemma":0.2066299,"domain_scores_codex":[0.9972735,0.001734312,0.00005760101,0.0001384891,0.0001896131,0.0006063858],"domain_scores_gemma":[0.9980262,0.0006547777,0.0001762811,0.00009033679,0.00022507,0.0008272195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007609512,0.0004361292,0.01185068,0.000290831,0.00001610814,0.04548295,0.9133863,0.0002796638,0.001282511,0.007211776,0.004309458,0.01537753],"study_design_scores_gemma":[0.000007248287,0.0001016561,0.002068025,0.0001494388,0.00000841076,0.002898779,0.9833781,0.0001638101,0.0001738727,0.0003554123,0.01068234,0.00001286509],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803632,0.0007678833,0.0007592608,0.004209552,0.000119765,0.0002647735,0.00004523878,0.00001201324,0.01345828],"genre_scores_gemma":[0.9888438,0.001138232,0.002099951,0.00184927,0.00005020266,0.0002239553,0.00003407085,0.00001490347,0.005745631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06128632,"threshold_uncertainty_score":0.1218592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1989730498546304,"score_gpt":0.4583746208224272,"score_spread":0.2594015709677968,"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."}}