{"id":"W2352037114","doi":"","title":"Improving Seed Purity Identification on InDel Pyrosequencing by DNA Pooling Technology","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pyrosequencing; Indel; Pooling; Identification (biology); Biology; Computational biology; INDEL Mutation; DNA sequencing; Genetics; DNA; Gene; Computer science; Botany; Artificial intelligence; Genotype; Single-nucleotide polymorphism","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":[0.004248678,0.001005932,0.001139932,0.00134091,0.0005238518,0.001093864,0.00083786,0.0007024214,0.0006808051],"category_scores_gemma":[0.0052788,0.000676261,0.001169788,0.001455281,0.0005514772,0.001178715,0.0008829487,0.0007425718,0.0005448107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004962478,"about_ca_system_score_gemma":0.0006377821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487096,"about_ca_topic_score_gemma":0.001888116,"domain_scores_codex":[0.9963655,0.00106688,0.0002499112,0.0008076561,0.00131374,0.0001962021],"domain_scores_gemma":[0.9978859,0.0009351647,0.0002670244,0.0002835245,0.0005620223,0.0000662503],"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":[0.0003422612,0.0001072091,0.01746363,0.0002702241,0.0001127124,0.0002554783,0.0002815248,0.007165493,0.9008816,0.0004780545,0.0001947376,0.07244699],"study_design_scores_gemma":[0.00001860664,0.0004041476,0.02099702,0.00001719088,0.0002051911,0.0004751181,0.00008531089,0.06423303,0.9103566,0.0008421054,0.002283306,0.00008237297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4673676,0.000912812,0.5290784,0.0001454024,0.0000524988,0.0001481909,0.0002159728,0.0008219666,0.001257275],"genre_scores_gemma":[0.7106183,0.0005196185,0.2867661,0.00007991669,0.0000172078,0.00009922875,0.0004434972,0.0001458411,0.001310325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004248678,"threshold_uncertainty_score":0.0224694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009924380020021559,"score_gpt":0.2419508332123951,"score_spread":0.2320264531923735,"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."}}