{"id":"W3150400184","doi":"10.3390/v13040601","title":"Phylogenetic Clustering among Asylum Seekers with New HIV-1 Diagnoses in Montreal, QC, Canada","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré de Santé et de Services Sociaux des Laurentides; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Hospitalier de l’Université de Montréal; McGill University; Jewish General Hospital; Santé Montérégie; Université de Montréal; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé","keywords":"Genotyping; Phylogenetic tree; Population; Demography; Transmission (telecommunications); Cluster analysis; Cohort; Cluster (spacecraft); Medicine; Biology; Genotype; Genetics; Sociology; Computer science; Internal medicine","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":[0.00003023901,0.0001384909,0.0001914417,0.00005361087,0.00007966109,0.00001848814,0.000102529,0.00006681278,0.0006647712],"category_scores_gemma":[0.00004748155,0.0001120983,0.00002291784,0.0001464663,0.0000802239,0.0000492093,0.00006816417,0.0001427415,0.0002613263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056113,"about_ca_system_score_gemma":0.0006966781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8056567,"about_ca_topic_score_gemma":0.9914328,"domain_scores_codex":[0.9990698,0.00008847432,0.0001337169,0.0002564045,0.00004707532,0.0004046077],"domain_scores_gemma":[0.9995401,0.0001374439,0.00003012685,0.0002167838,0.00002560343,0.00004997863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000129375,0.0001425714,0.9407842,0.0000171195,0.000254395,0.001075711,0.0001979206,0.0003014191,0.02234538,0.000004812028,0.02746245,0.00728467],"study_design_scores_gemma":[0.002227352,0.0001413388,0.8887705,0.00008047328,0.00002537851,0.00005446346,0.0004613885,0.000003186935,0.0791184,0.000009999705,0.02891265,0.0001949047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992961,0.005418478,0.0000211902,0.0002266075,0.0001038004,0.0001377105,0.0001137142,0.00001999959,0.0009974838],"genre_scores_gemma":[0.9958227,0.0003392471,0.00004359258,0.0002409778,0.00001940664,0.00003254589,0.0001077428,0.00001364912,0.003380131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857761,"threshold_uncertainty_score":0.7278779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133540584269711,"score_gpt":0.2317200403625859,"score_spread":0.2183659819356148,"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."}}