{"id":"W1038154579","doi":"10.1155/2000/412508","title":"Integrating Laboratory and Epidemiological Techniques for Population‐Based Surveillance of HIV Strains and Drug Resistance in Canada","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"British Columbia Centre for Disease Control","keywords":"Genetic diversity; Phylogenetic tree; Biology; Genetics; Molecular epidemiology; Population; Virology; Reverse transcriptase; Phylogenetics; Drug resistance; Human immunodeficiency virus (HIV); Gene; Genotype; Polymerase chain reaction; Medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003008352,0.0003637085,0.0002946165,0.004414881,0.001901104,0.00127951,0.001879275,0.0003605165,0.002204225],"category_scores_gemma":[0.006561812,0.0003178956,0.0003291929,0.003854563,0.0006718174,0.0006295671,0.001096895,0.0006325998,0.0002231652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03973889,"about_ca_system_score_gemma":0.1078614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994712,"about_ca_topic_score_gemma":0.9941363,"domain_scores_codex":[0.997098,0.0005479181,0.0001893148,0.0001753165,0.001543239,0.0004462635],"domain_scores_gemma":[0.9942155,0.0005334901,0.0003517251,0.0001326634,0.004006143,0.000760446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000310974,0.0004896763,0.5891621,0.0006540297,0.0001770979,0.0004618618,0.001632113,0.006467797,0.005757413,0.004720034,0.01639307,0.373774],"study_design_scores_gemma":[0.00008335034,0.0002091738,0.9509364,0.000235221,0.00009999618,0.0002565371,0.002589658,0.0114874,0.002631573,0.0006217953,0.03078079,0.00006807984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244569,0.01665082,0.04728382,0.01370096,0.0007658506,0.004523173,0.02257964,0.001440844,0.06859793],"genre_scores_gemma":[0.9363329,0.0060918,0.0458698,0.001302259,0.0001166631,0.0005320748,0.002846762,0.0000718407,0.006835804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03973889,"threshold_uncertainty_score":0.2883272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005460991354162585,"score_gpt":0.2375357881922661,"score_spread":0.2320747968381035,"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."}}