{"id":"W3106589195","doi":"10.1093/jas/skaa278.600","title":"PSV-36 Optimization of Collection, Storage, and Extraction of Samples for Large-Scale 16s Sequencing Project","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agribrands Purina (Canada)","funders":"","keywords":"DNA extraction; Extraction (chemistry); RNA extraction; Microbiome; DNA; Chromatography; Biology; RNA; Bioinformatics; Chemistry; Polymerase chain reaction; 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":[0.004768546,0.001586406,0.001603951,0.001400947,0.001088215,0.002059717,0.001527948,0.0009400088,0.01072027],"category_scores_gemma":[0.006188936,0.0008037213,0.0009915866,0.001682878,0.0009312486,0.0009572826,0.001226957,0.001478085,0.01005035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006051666,"about_ca_system_score_gemma":0.002158191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625744,"about_ca_topic_score_gemma":0.005722824,"domain_scores_codex":[0.9953702,0.0009050522,0.0004194998,0.001054093,0.00172744,0.0005237876],"domain_scores_gemma":[0.9978393,0.0005581823,0.0001895931,0.0003340037,0.0008668777,0.0002120786],"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":[0.001397261,0.0003831341,0.003854512,0.0006421438,0.00006681704,0.0002685484,0.0004714293,0.002312066,0.9288917,0.0006353941,0.007338973,0.05373812],"study_design_scores_gemma":[0.0001582585,0.002966007,0.01694738,0.0004073023,0.0001662538,0.0003802102,0.0004634113,0.01202359,0.8740676,0.0009717354,0.09127881,0.0001692804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4188036,0.003288818,0.4790193,0.001568914,0.001578478,0.01718095,0.04656043,0.0157917,0.01620778],"genre_scores_gemma":[0.290563,0.002726418,0.5681075,0.00104043,0.000384098,0.01706808,0.08964133,0.003649848,0.02681935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01072027,"threshold_uncertainty_score":0.03586292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706390202470204,"score_gpt":0.3589948029408249,"score_spread":0.2883557826938045,"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."}}