{"id":"W4205139713","doi":"10.1080/15562948.2022.2027057","title":"Responding to Increasing Health and Social Needs of Unprotected Unaccompanied Minors in Paris in the Context of COVID-19: A Mixed Methods Case Study","year":2022,"lang":"en","type":"article","venue":"Journal of Immigrant & Refugee Studies","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Context (archaeology); Welfare; Feeling; Social Welfare; Coronavirus disease 2019 (COVID-19); Health care; Population; Phone; Psychology; Family medicine; Medicine; Social isolation; Nursing; Political science; Psychiatry; Social psychology; Environmental health; Law; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01204973,0.000178239,0.001033232,0.001824312,0.0004399193,0.00001005742,0.0002088409,0.00004311719,0.00001376131],"category_scores_gemma":[0.001017369,0.0001316849,0.000105785,0.002048001,0.0001056924,0.00005591653,0.0001022025,0.0005600056,1.385806e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712063,"about_ca_system_score_gemma":0.0003002545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0215702,"about_ca_topic_score_gemma":0.02026157,"domain_scores_codex":[0.9899476,0.007454694,0.001710433,0.0001747891,0.0003788139,0.0003336493],"domain_scores_gemma":[0.99636,0.001950866,0.001216684,0.0001728898,0.0001666513,0.0001329107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.004712413,0.0008451984,0.04601529,0.000200828,0.0003026061,0.000488625,0.9332117,0.00001881167,0.0002101823,0.0004215366,0.0004933536,0.01307948],"study_design_scores_gemma":[0.003702857,0.002624018,0.07222969,0.00005151744,0.00005336091,0.001258999,0.918821,0.000004019277,0.00001614877,0.00008910608,0.001053198,0.00009604284],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987835,0.007817344,0.00004751874,0.003076124,0.0002438899,0.0009447691,0.00002181165,0.000004813971,0.000008732279],"genre_scores_gemma":[0.9983043,0.0000815933,0.000552674,0.0009233581,0.00004549813,0.00006934207,9.96477e-7,0.00001256898,0.000009655764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621441,"threshold_uncertainty_score":0.9976161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07743461154851858,"score_gpt":0.4557190395259738,"score_spread":0.3782844279774552,"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."}}