{"id":"W2131188188","doi":"10.1128/jcm.39.2.696-704.2001","title":"Typing and Subtyping Influenza Virus Using DNA Microarrays and Multiplex Reverse Transcriptase PCR","year":2001,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Canadian Institutes of Health Research; Ontario Innovation Trust","keywords":"Subtyping; Biology; Multiplex; DNA microarray; Multiplex polymerase chain reaction; Typing; Influenza A virus; Neuraminidase; Virology; Hybridization probe; Polymerase chain reaction; Reverse transcriptase; Virus; Molecular biology; Gene; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001030379,0.0007882667,0.0006893044,0.001051546,0.0003054409,0.0007053539,0.0005488712,0.0006081719,0.0009733527],"category_scores_gemma":[0.0009110755,0.0004473091,0.000388878,0.0006106927,0.0003303076,0.0004975977,0.0003314448,0.0007700602,0.0008986343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720295,"about_ca_system_score_gemma":0.0001829752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003954919,"about_ca_topic_score_gemma":0.001033591,"domain_scores_codex":[0.9990182,0.0002331028,0.00006546548,0.0003154109,0.0002819256,0.00008589336],"domain_scores_gemma":[0.9995957,0.0002169672,0.00005110335,0.00004532145,0.00006123741,0.00002961089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003839707,0.00002408228,0.0002304158,0.00003758771,0.000004072179,0.0000174396,0.00001636268,0.0002294042,0.994718,0.0001385344,0.00007236802,0.004473452],"study_design_scores_gemma":[0.00000892967,0.0001854207,0.001586043,0.000009988669,0.00001880929,0.0001460658,0.00003424503,0.01011723,0.9831791,0.0002826875,0.004411821,0.0000196614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.324506,0.00278138,0.6629259,0.0002362546,0.0001926636,0.0007713383,0.003220308,0.001935283,0.003430913],"genre_scores_gemma":[0.2452213,0.002339463,0.7438898,0.0001374188,0.00005582438,0.001221726,0.002491734,0.0001047265,0.004538075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001051546,"threshold_uncertainty_score":0.005449235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792644008464865,"score_gpt":0.3593240835055204,"score_spread":0.2800596826590339,"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."}}