{"id":"W201794229","doi":"10.21775/9781912530069.01","title":"A High-Resolution Melting Approach for Analyzing Allelic Expression Dynamics","year":2009,"lang":"en","type":"article","venue":"Caister Academic Press eBooks","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"High Resolution Melt; Amplicon; Biology; Allele; Single-nucleotide polymorphism; Complementary DNA; Melting curve analysis; Gene; Genetics; genomic DNA; Molecular biology; Polymerase chain reaction; Genotype","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":[0.001333364,0.0007579275,0.0008459214,0.002173445,0.0006451117,0.0007736027,0.001016811,0.001220122,0.002806733],"category_scores_gemma":[0.001964861,0.0007577668,0.0007960462,0.001372531,0.0005656632,0.0007686412,0.0006612663,0.002464369,0.002456103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006523286,"about_ca_system_score_gemma":0.0003304711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005293493,"about_ca_topic_score_gemma":0.001218255,"domain_scores_codex":[0.9983961,0.0004879248,0.00008444025,0.0004917497,0.0004626131,0.00007724672],"domain_scores_gemma":[0.998944,0.0004510367,0.0001532365,0.0002403492,0.0001521866,0.00005916165],"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":[0.00006439732,0.00004613396,0.0007805087,0.0001476011,0.0000467199,0.00004415406,0.00007965518,0.0003937023,0.9677645,0.0009469622,0.0004093556,0.02927634],"study_design_scores_gemma":[0.0000209646,0.0003081181,0.007449818,0.00004066882,0.00009265644,0.0009363166,0.00009197186,0.02256097,0.9513785,0.001769027,0.01524313,0.0001077792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06997272,0.002095849,0.9194769,0.0002688554,0.0001686075,0.0002185725,0.001272911,0.002544576,0.003981002],"genre_scores_gemma":[0.2086052,0.001541476,0.7812592,0.0002701121,0.00005613465,0.0008321723,0.001241221,0.0003888406,0.005805714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002806733,"threshold_uncertainty_score":0.0093894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350674382321752,"score_gpt":0.291810918127492,"score_spread":0.2683041743042745,"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."}}