{"id":"W7017487033","doi":"","title":"Asian LGBT Non-Citizen Immigrants in California","year":2023,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Poverty; Stressor; Stigma (botany); Minority stress; Ethnic group; Public health; Vietnamese","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":[0.0002390344,0.0002115482,0.0001695428,0.0004894327,0.003256137,0.001245996,0.0007003036,0.00030318,0.01200608],"category_scores_gemma":[0.0004538781,0.0001787493,0.0002137801,0.0007275243,0.0003476998,0.0003602732,0.0009107617,0.0008236042,0.001018482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777197,"about_ca_system_score_gemma":0.003880488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4799802,"about_ca_topic_score_gemma":0.7034797,"domain_scores_codex":[0.9998362,0.00001486644,0.000008748259,0.0000352169,0.00004132876,0.00006361499],"domain_scores_gemma":[0.9994676,0.00002058874,0.00006052971,0.00002159991,0.0001592627,0.0002704353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003027219,0.000999938,0.8376372,0.0003119388,0.00007690124,0.002694798,0.01813932,0.0001045022,0.0007560586,0.0009320971,0.0877851,0.05025943],"study_design_scores_gemma":[0.00004255927,0.0001145022,0.9002928,0.0002521814,0.00006783346,0.0005683283,0.05520602,0.0001624967,0.000117584,0.0001178135,0.04303594,0.00002185565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571204,0.0006677308,0.00004082587,0.001123795,0.0001163316,0.0000850104,0.002306885,0.00003762745,0.0385013],"genre_scores_gemma":[0.971378,0.001832976,0.0001878855,0.001239313,0.00007142144,0.0001120376,0.002878211,0.0000187858,0.02228133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799802,"threshold_uncertainty_score":0.9543728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112183661962281,"score_gpt":0.2845310918325144,"score_spread":0.2634092552128916,"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."}}