{"id":"W2367243162","doi":"","title":"PCR Detection System for Genetically Modified Rice and Its Application in Genetic Breeding","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetically modified rice; Detection limit; Biology; Genetically modified organism; DNA extraction; Polymerase chain reaction; Genetically modified crops; Gene; Transgene; Selection (genetic algorithm); DNA; Extraction (chemistry); Biotechnology; Molecular biology; Genetics; Computer science; Chromatography; Chemistry; Artificial intelligence","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":[0.003594858,0.002149216,0.001280872,0.002510107,0.0005797336,0.0006699198,0.001497539,0.001510457,0.004508947],"category_scores_gemma":[0.003678771,0.001721606,0.001164063,0.001110707,0.001044978,0.00107723,0.00108494,0.002542445,0.004829039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006002211,"about_ca_system_score_gemma":0.001086305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106498,"about_ca_topic_score_gemma":0.0006767848,"domain_scores_codex":[0.9938601,0.001733135,0.0005036402,0.002244436,0.001320145,0.0003384484],"domain_scores_gemma":[0.9981624,0.0006917078,0.0002680581,0.000266901,0.0004625145,0.0001483422],"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":[0.0001564233,0.0001030399,0.0005992664,0.0003905521,0.0000284952,0.0001570369,0.0001154767,0.0002342409,0.9673779,0.001126865,0.001060758,0.02865002],"study_design_scores_gemma":[0.0001541742,0.001300814,0.003735413,0.000158358,0.0002642062,0.002464154,0.00009095506,0.01407555,0.9302982,0.001449227,0.04588347,0.0001255801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02260259,0.001799335,0.9674343,0.0002911505,0.0003848075,0.0007153393,0.0004856806,0.003497511,0.002789382],"genre_scores_gemma":[0.05228685,0.001700331,0.9331126,0.0004535277,0.0001153254,0.002399321,0.002207211,0.0003416844,0.007383196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004508947,"threshold_uncertainty_score":0.01901168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455128550246889,"score_gpt":0.2703095512694823,"score_spread":0.2457582657670134,"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."}}