{"id":"W820167731","doi":"","title":"水稻MOC1 mRNA TaqMan实时荧光定量RT-PCR检测方法的建立","year":2008,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TaqMan; Real-time polymerase chain reaction; Messenger RNA; Molecular biology; Biology; Virology; Computational biology; Genetics; Gene","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":[0.003557872,0.002785153,0.002398685,0.002049346,0.002601292,0.002010639,0.002027655,0.001727016,0.01422832],"category_scores_gemma":[0.002834002,0.003327725,0.001646447,0.002457237,0.002989325,0.002199115,0.001174205,0.005749827,0.009000272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002384885,"about_ca_system_score_gemma":0.00511778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659569,"about_ca_topic_score_gemma":0.005202424,"domain_scores_codex":[0.992902,0.001492096,0.0006041677,0.002510686,0.001725962,0.0007651232],"domain_scores_gemma":[0.9973841,0.001197852,0.0002053843,0.0003189006,0.0007313804,0.0001624536],"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":[0.0005787479,0.0005117134,0.004028776,0.001717709,0.0001514946,0.0001958879,0.00126287,0.00106288,0.9366138,0.00848306,0.005631762,0.03976141],"study_design_scores_gemma":[0.0001283413,0.0005052012,0.003355049,0.0001730872,0.0003578661,0.0003539693,0.0003251754,0.004464519,0.9252526,0.001874554,0.06310553,0.000104091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1912531,0.01179605,0.7015997,0.002490608,0.003067372,0.004458911,0.00751424,0.01471537,0.06310479],"genre_scores_gemma":[0.192221,0.006281546,0.6577187,0.002759867,0.000485337,0.01470531,0.01651395,0.003007659,0.1063066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01422832,"threshold_uncertainty_score":0.04759848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285380879581939,"score_gpt":0.292591504229294,"score_spread":0.2697376954334746,"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."}}