{"id":"W4304160928","doi":"10.21203/rs.3.rs-2062345/v1","title":"The IMPACT Cross-Sectional Study: The socioeconomic experiences of US and non-US immigrants in Canada in the midst of the COVID-19 pandemic","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Socioeconomic status; Immigration; Pandemic; Demographic economics; Demography; Psychology; Geography; Coronavirus disease 2019 (COVID-19); Medicine; Political science; Socioeconomics; Sociology; Disease; Population; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001357492,0.0004422499,0.0005388835,0.001454515,0.008944158,0.002558895,0.001081815,0.0005756217,0.00206759],"category_scores_gemma":[0.002540277,0.0003676074,0.000564721,0.002507638,0.002181335,0.0008186459,0.003103017,0.001527682,0.0002411318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01995764,"about_ca_system_score_gemma":0.03436551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9689726,"about_ca_topic_score_gemma":0.9837134,"domain_scores_codex":[0.9987013,0.0001430933,0.00006478289,0.0001009425,0.0003434848,0.0006463148],"domain_scores_gemma":[0.9982173,0.0001218245,0.0002491632,0.00004660349,0.0006808641,0.0006841753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001666169,0.0003353698,0.8401884,0.0001151083,0.00005522609,0.0006518743,0.1483044,0.00006281231,0.0005691389,0.000272966,0.001782787,0.00749534],"study_design_scores_gemma":[0.00000736881,0.0001318556,0.6714171,0.00009060382,0.00001855475,0.0001268865,0.3255846,0.0000856957,0.0001146507,0.00003476442,0.002350823,0.00003720736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981393,0.0001204324,0.0000266531,0.0001839032,0.000008407815,0.00007304909,0.0003817199,0.000001945479,0.00106459],"genre_scores_gemma":[0.9980025,0.0002702651,0.00009100651,0.0002636904,0.000006157659,0.00006633011,0.000396556,0.000003437161,0.0009000019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03102738,"threshold_uncertainty_score":0.1448035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3332049069192343,"score_gpt":0.5823669479208856,"score_spread":0.2491620410016513,"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."}}