{"id":"W2946142791","doi":"10.5740/jaoacint.18-0318","title":"DNA Quality and Quantity Analysis of <i>Camellia sinensis</i> Through Processing from Fresh Leaves to a Green Tea Extract","year":2019,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Camellia sinensis; genomic DNA; DNA; Biology; Green tea; Polymerase chain reaction; Food science; Botany; Gene; Genetics","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":[0.0005155421,0.000266175,0.0002344698,0.0005447608,0.0003447447,0.0005076941,0.0003855377,0.0004569168,0.001234902],"category_scores_gemma":[0.0008904574,0.0001455448,0.0004965097,0.0004246445,0.0004072442,0.0003830823,0.0002711352,0.0004196475,0.0005218178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005033826,"about_ca_system_score_gemma":0.0002223161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188189,"about_ca_topic_score_gemma":0.003467008,"domain_scores_codex":[0.9994811,0.0000444085,0.00004375091,0.000203584,0.0001812061,0.0000459176],"domain_scores_gemma":[0.9990381,0.0001173738,0.000342217,0.00006062477,0.0003882426,0.00005349959],"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":[0.00008622287,0.00002169559,0.007093264,0.00004836448,0.00001206939,0.00002352627,0.00009522581,0.000054354,0.9900627,0.00002036117,0.00003384651,0.002448388],"study_design_scores_gemma":[0.0000110531,0.001014365,0.3074096,0.00002331158,0.00008841756,0.0002606192,0.0003096843,0.001253035,0.6867055,0.00008766108,0.002811691,0.00002505642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908184,0.0003808011,0.006173598,0.00009614152,0.00002313659,0.00008122276,0.001423202,0.00009906331,0.0009044198],"genre_scores_gemma":[0.9775073,0.0003249764,0.01423781,0.0004110842,0.00002478037,0.000203083,0.004613871,0.0001010993,0.002576018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002188189,"threshold_uncertainty_score":0.00435096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195237073706422,"score_gpt":0.3421025781091684,"score_spread":0.3225788707385263,"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."}}