{"id":"W2356078529","doi":"","title":"The Progress of Fluorescence qPCR and its Application in Plant Genetics and Breeding","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Genetics; Computational biology; Evolutionary biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01341782,0.001261382,0.001827972,0.002094068,0.0008894475,0.002309016,0.001539213,0.001752811,0.003743697],"category_scores_gemma":[0.007367126,0.00106369,0.001080159,0.001326283,0.002673673,0.002608782,0.001457733,0.005551344,0.002812796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136862,"about_ca_system_score_gemma":0.002363731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813774,"about_ca_topic_score_gemma":0.001548326,"domain_scores_codex":[0.9950137,0.00166265,0.0001847872,0.00169686,0.001239053,0.0002029612],"domain_scores_gemma":[0.9897354,0.005978116,0.0003713932,0.001263265,0.002270106,0.0003816884],"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":[0.0002221235,0.0001578476,0.00259763,0.00101977,0.00005596879,0.00005630479,0.0003159053,0.001551377,0.6429235,0.0186721,0.00337308,0.3290545],"study_design_scores_gemma":[0.00006567197,0.000727203,0.007641891,0.0003357232,0.0002349658,0.0009954575,0.0002272035,0.02705134,0.7721215,0.02093968,0.1693591,0.0003002597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01684703,0.01756575,0.9544551,0.00196731,0.0007380241,0.0001404928,0.0005171227,0.001030788,0.006738396],"genre_scores_gemma":[0.1195854,0.02840521,0.8251659,0.002174363,0.0009048842,0.000676843,0.001355502,0.0008777417,0.02085414],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01341782,"threshold_uncertainty_score":0.070961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007505297684980856,"score_gpt":0.260645348004896,"score_spread":0.2531400503199152,"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."}}