{"id":"W2092390956","doi":"10.1021/ac1013157","title":"In-Gel Technology for PCR Genotyping and Pathogen Detection","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Polyomavirus and related diseases","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Alberta","funders":"Canada Research Chairs","keywords":"Chemistry; genomic DNA; Chromatography; Gel electrophoresis; Polymerase chain reaction; SYBR Green I; Molecular biology; DNA; Polymerization; Primer (cosmetics); Gene; Biology; Biochemistry; Polymer","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":[0.00004344708,0.00006403002,0.000119879,0.0000374706,0.00003004151,0.000005259207,0.00002809335,0.0002410958,0.00006007578],"category_scores_gemma":[0.0002214211,0.00005402748,0.00003983228,0.0001107846,0.00008717125,0.00001819472,0.00001879718,0.0002376441,0.000004402071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274285,"about_ca_system_score_gemma":0.00003125202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005430463,"about_ca_topic_score_gemma":0.000003614095,"domain_scores_codex":[0.9995428,0.000001159494,0.0001067089,0.0001563987,0.00004517286,0.0001477166],"domain_scores_gemma":[0.999712,0.00002597231,0.00001698132,0.0001172473,0.0000264405,0.0001013311],"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":[0.00005627881,0.00005327303,0.003634949,0.00007970793,0.0000219244,0.00002557903,0.000004734793,1.969922e-7,0.9918034,0.0001248312,0.00004432586,0.004150772],"study_design_scores_gemma":[0.002302163,0.00007811353,0.007712976,0.00006570853,0.0003499841,0.0003028255,0.00008783209,0.009571992,0.9594598,0.004066116,0.01575786,0.0002446329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996709,0.0002947405,0.0001135132,0.0007972869,0.00003063497,0.00007731502,0.000005887642,0.00003228437,0.001939349],"genre_scores_gemma":[0.9989446,0.00002376817,0.0001841104,0.0001132138,0.0001146665,0.00001170918,0.000005506296,0.000008011739,0.0005943964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03234363,"threshold_uncertainty_score":0.2203177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814936169981033,"score_gpt":0.2697196422965078,"score_spread":0.2629047061265268,"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."}}