{"id":"W4413117533","doi":"10.1371/journal.pone.0324351","title":"Stabilized and unstabilized sampling methods result in differential fecal 16S rRNA microbial sequencing results","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Military and Veteran Health Research","funders":"","keywords":"Feces; 16S ribosomal RNA; Microbiology; Ribosomal RNA; Biology; Sampling (signal processing); Bacteria; Genetics; Gene; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01284128,0.001299345,0.001030318,0.00177395,0.000836107,0.002514163,0.0006157556,0.0009418511,0.00176302],"category_scores_gemma":[0.01889801,0.0006060514,0.001389351,0.002195626,0.001665804,0.001080356,0.001497029,0.000877648,0.0009298207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818392,"about_ca_system_score_gemma":0.0009265746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057266,"about_ca_topic_score_gemma":0.005210999,"domain_scores_codex":[0.9806692,0.007498835,0.002297186,0.003810547,0.005030851,0.0006933463],"domain_scores_gemma":[0.9835507,0.005726873,0.005546643,0.001822643,0.003084318,0.0002688351],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002897923,0.0004761216,0.2708276,0.00362192,0.002726079,0.0005779474,0.002335721,0.001604459,0.5430518,0.001757129,0.003003963,0.1671192],"study_design_scores_gemma":[0.0001274262,0.003117989,0.5485054,0.000954379,0.002288522,0.001858749,0.002022348,0.00348702,0.3926622,0.003529248,0.04119156,0.0002552416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392293,0.01786537,0.1273689,0.001711817,0.001523731,0.0007116728,0.004591042,0.0006449466,0.00635316],"genre_scores_gemma":[0.8688208,0.004336785,0.1170332,0.00186113,0.0002180261,0.0008294177,0.00426528,0.0004841786,0.002151093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9871587,"threshold_uncertainty_score":0.06791204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06557902147425751,"score_gpt":0.3384790466397388,"score_spread":0.2729000251654813,"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."}}