{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596479,0.0001398173,0.0004145372,0.0000532801,0.0001223656,0.00003011343,0.0001258931,0.0001896477,0.0006503114],"category_scores_gemma":[0.0001927157,0.0001172503,0.0001476041,0.00008185116,0.0004142328,0.000273946,0.00009832508,0.0004681332,0.0000285045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004300962,"about_ca_system_score_gemma":0.00001924054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001985124,"about_ca_topic_score_gemma":0.0001310047,"domain_scores_codex":[0.9983951,0.0001805421,0.0009409275,0.0002224989,0.00002228643,0.0002386266],"domain_scores_gemma":[0.9990376,0.0002040296,0.0004645905,0.0001064287,0.00002613761,0.0001612598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002467829,0.00007647799,0.02643619,0.000005104049,0.00003726783,0.00002892223,0.0001254321,0.0000160052,0.9667912,0.000001496329,0.0005540201,0.005681128],"study_design_scores_gemma":[0.004155109,0.0006538812,0.2353886,0.0002172649,0.0002372314,0.009098329,0.0003034669,0.0001847609,0.01698661,0.00009299598,0.7321742,0.0005075366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981344,0.0003884344,0.0003519028,0.0003284614,0.0006061787,0.00007947317,0.00001398688,0.000006072243,0.00009105678],"genre_scores_gemma":[0.9914249,0.0009601465,0.004779284,0.002519879,0.0002072875,3.492569e-7,0.000001714474,0.00001433574,0.00009209855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498045,"threshold_uncertainty_score":0.7120453,"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."}}