{"id":"W4384025388","doi":"10.3389/fsysb.2023.1183868","title":"Contribution of farms to the microbiota in the swine value chain","year":2023,"lang":"en","type":"article","venue":"Frontiers in Systems Biology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Mitel (Canada); Université de Montréal; Centre de Recherche en Sciences Animales de Deschambault","funders":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Biology; Mesophile; Food science; Feces; Biotechnology; Bacteria; Microbiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002441838,0.0000821765,0.0002287116,0.00002623317,0.00006252444,0.00001219558,0.000386985,0.00009744486,0.000005021397],"category_scores_gemma":[0.0001947439,0.0000220304,0.00004343169,0.0007990006,0.00006802843,0.00001629827,0.00005503617,0.000104287,0.00002030005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002221593,"about_ca_system_score_gemma":0.000004364382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304737,"about_ca_topic_score_gemma":0.0004283288,"domain_scores_codex":[0.9984906,0.0006747926,0.0003018093,0.0002105668,0.00006739471,0.0002548223],"domain_scores_gemma":[0.999647,0.0001449982,0.000073915,0.00008303751,0.00003222877,0.00001886674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001174826,0.00007994271,0.2850712,0.00002675584,0.0000203314,0.000004632767,0.001377393,0.00008585262,0.6477899,0.008824007,0.04777172,0.008830792],"study_design_scores_gemma":[0.0003314071,0.0004451078,0.7715315,0.00006590453,0.000006338599,0.000007347402,0.007762168,0.0004489218,0.001992871,0.001601286,0.215588,0.0002191708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875646,0.0006894926,0.00003870666,0.009988409,0.0009843612,0.0005530289,0.0000583378,0.00001948779,0.0001035586],"genre_scores_gemma":[0.9992192,0.00003412789,0.00001023598,0.0002453937,0.0002678657,0.00003661056,0.00007110591,4.527772e-7,0.0001150126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.645797,"threshold_uncertainty_score":0.1972381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569714101950282,"score_gpt":0.2517785928546019,"score_spread":0.226081451835099,"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."}}