{"id":"W2107206267","doi":"10.1186/1475-2875-10-244","title":"Real-time PCR detection of Plasmodium directly from whole blood and filter paper samples","year":2011,"lang":"en","type":"article","venue":"Malaria Journal","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"Universidad de Antioquia; Fondation pour la Recherche Médicale; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Real-time polymerase chain reaction; SYBR Green I; Biology; Whole blood; Polymerase chain reaction; Plasmodium falciparum; Plasmodium (life cycle); Melting curve analysis; genomic DNA; Molecular biology; DNA; Dried blood; Virology; Chromatography; Chemistry; Immunology; Malaria; Parasite hosting; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00130812,0.0008972026,0.0006808232,0.0008691711,0.0002186797,0.0006450889,0.0007658208,0.0007240001,0.002850065],"category_scores_gemma":[0.001943436,0.000488772,0.0004436075,0.0005910041,0.0005912973,0.0004735376,0.0002412643,0.0008712274,0.001495568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011625,"about_ca_system_score_gemma":0.0004530564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003510664,"about_ca_topic_score_gemma":0.0006400003,"domain_scores_codex":[0.9983199,0.0004145852,0.0001362172,0.0005618878,0.0004420726,0.0001251657],"domain_scores_gemma":[0.998665,0.0006667502,0.0002295465,0.00009672968,0.0002862307,0.00005583185],"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":[0.0001162035,0.00004951151,0.0006423828,0.0002285312,0.00001149162,0.00005134169,0.0000525505,0.00008899094,0.993518,0.00007384767,0.0001240935,0.005043097],"study_design_scores_gemma":[0.0000244819,0.0004290977,0.003513466,0.0000442968,0.00004501009,0.0004420993,0.00005215444,0.002442516,0.9882406,0.0001638186,0.004579028,0.000023525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3900549,0.005925989,0.5913401,0.0003794031,0.0006253779,0.001445325,0.002986135,0.002152644,0.00509001],"genre_scores_gemma":[0.3697435,0.004779817,0.6061993,0.0003493179,0.0001470709,0.002054075,0.005214202,0.0002400408,0.01127275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002850065,"threshold_uncertainty_score":0.009534359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122605924053181,"score_gpt":0.2177986405623551,"score_spread":0.205538048157037,"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."}}