{"id":"W3009111592","doi":"10.3390/microorganisms8030368","title":"Optimization of Preservation Methods Allows Deeper Insights into Changes of Raw Milk Microbiota","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Guelph; Université Laval","funders":"","keywords":"Food science; Propidium monoazide; Preservative; Biology; Dimethyl sulfoxide; Raw milk; 16S ribosomal RNA; Microbial population biology; Microbiome; Raw material; Chemistry; Microbiology; Real-time polymerase chain reaction; Biochemistry; Bacteria; Gene; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001250188,0.0001473304,0.0002378364,0.0000450406,0.00004702213,0.000008030415,0.0002234718,0.0002024744,0.00007261359],"category_scores_gemma":[0.00006214815,0.0001433202,0.00006293503,0.0001778088,0.00007515185,0.000006386787,0.000146207,0.00006701805,0.000003921374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001187609,"about_ca_system_score_gemma":0.00008758875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004310838,"about_ca_topic_score_gemma":0.00005004206,"domain_scores_codex":[0.9990614,0.0001202638,0.0003040975,0.0002990066,0.00006090326,0.0001543255],"domain_scores_gemma":[0.9992898,0.00001049604,0.0001973348,0.0002529398,0.0001763845,0.0000730268],"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":[0.0000579147,0.00004929847,0.0001481169,0.0001698885,0.00003437723,2.91994e-7,0.001329879,0.0004824757,0.9961277,0.0000429774,0.001204894,0.0003522199],"study_design_scores_gemma":[0.0004606888,0.0003076947,0.000332828,0.00001683089,0.00002555061,0.000002104945,0.0001097524,0.000131712,0.982034,0.00003026992,0.01641379,0.0001347952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8239223,0.00241316,0.1714934,0.001543136,0.0001174756,0.0003647442,0.00001662564,0.00001565554,0.0001135381],"genre_scores_gemma":[0.7595429,0.0005890655,0.237652,0.00149304,0.0001354006,0.000005780326,0.0003964913,0.00004438498,0.0001409801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06615856,"threshold_uncertainty_score":0.5844427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712613516643527,"score_gpt":0.2846812840390123,"score_spread":0.267555148872577,"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."}}