{"id":"W4388672516","doi":"10.5206/ijoh.2023.3.15106","title":"The Benefits of the Everyone In Initiative and the Deeper-Rooted Problems It Revealed for Migrants Experiencing Homelessness","year":2023,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; UK Research and Innovation","keywords":"Loneliness; Accommodation; Isolation (microbiology); Mental health; Welfare; Social isolation; Government (linguistics); Sociology; Pandemic; Psychology; Criminology; Social psychology; Political science; Coronavirus disease 2019 (COVID-19); Medicine; Psychiatry; Disease; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002447586,0.0002450864,0.0006970057,0.0002359939,0.001612,0.000108843,0.00114267,0.0001861228,0.00002330592],"category_scores_gemma":[0.001054999,0.000121342,0.0001969619,0.0007269302,0.0003590081,0.0002313646,0.0002895006,0.0008557537,0.00001008043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151465,"about_ca_system_score_gemma":0.0002739775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002816477,"about_ca_topic_score_gemma":0.009890611,"domain_scores_codex":[0.9961538,0.0009810069,0.001120152,0.0002678702,0.0009167453,0.0005604317],"domain_scores_gemma":[0.9933638,0.004359811,0.000874012,0.0002679073,0.001050025,0.00008443916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003208718,0.000267325,0.1864959,0.000314861,0.0005388645,0.0000294529,0.6886387,0.002177642,0.0001819515,0.06760719,0.0002340943,0.05030528],"study_design_scores_gemma":[0.009863368,0.00009211271,0.4916447,0.002639109,0.00004276021,0.000004000614,0.4758775,0.0009392679,0.0003133576,0.01470828,0.003531319,0.000344281],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990526,0.001149835,0.00009666409,0.003944484,0.002697466,0.001227284,0.00007742182,0.00002806517,0.0002527458],"genre_scores_gemma":[0.9950547,0.0031777,0.000009323333,0.000257129,0.0005415668,0.0006076869,0.000009604089,0.00004068228,0.0003015788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3051488,"threshold_uncertainty_score":0.9996878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706329101926718,"score_gpt":0.3945173618196899,"score_spread":0.3238844516270181,"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."}}