{"id":"W4297878712","doi":"10.1371/journal.pgph.0000714","title":"Unmasking legislative constraints: An institutional ethnography of linkage and engagement in HIV healthcare for African, Caribbean, and Black people in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario HIV Treatment Network","keywords":"Health care; Immigration; Legislature; Political science; Public health; Economic growth; Medicine; Nursing; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312,0.0001173361,0.0003700732,0.0002795168,0.0002456387,0.00001949642,0.00009397866,0.00003674354,0.0001385418],"category_scores_gemma":[0.0003138972,0.0001230767,0.00004127915,0.0006386292,0.0002216576,0.0001499612,0.0001163178,0.0005452427,1.022832e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383875,"about_ca_system_score_gemma":0.009769581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9451984,"about_ca_topic_score_gemma":0.9963582,"domain_scores_codex":[0.9977808,0.0004196936,0.0004893912,0.0003113599,0.0004701743,0.0005285534],"domain_scores_gemma":[0.9989932,0.00009612282,0.0001118314,0.0001434737,0.0001462484,0.0005091425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001659968,0.001077958,0.9341429,0.0009962901,0.0001108205,0.00003368471,0.01967099,0.00002999956,0.000007954418,0.02723434,0.00635962,0.01016937],"study_design_scores_gemma":[0.005674874,0.005690386,0.8632813,0.0003852034,0.00001617957,0.00003889298,0.04519057,0.005350955,0.000002914475,0.0006428125,0.07347276,0.0002531164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378684,0.0004904391,0.0003269553,0.05423157,0.00003886769,0.001776908,0.00184644,0.00001430227,0.003406109],"genre_scores_gemma":[0.9979091,0.00003269142,0.000583323,0.0008502867,0.00001574512,0.0001604658,0.0003800847,0.000006228061,0.00006210343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07086164,"threshold_uncertainty_score":0.9958441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08226190329575811,"score_gpt":0.3422091929372501,"score_spread":0.259947289641492,"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."}}