{"id":"W4403684278","doi":"10.1093/nar/gkae944","title":"MicrobiomeNet: exploring microbial associations and metabolic profiles for mechanistic insights","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Genome Canada","keywords":"Biology; Computational biology; Genetics; Evolutionary biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004231375,0.004231738,0.003028916,0.01062381,0.001600368,0.004093307,0.003215555,0.002755115,0.01967729],"category_scores_gemma":[0.01114415,0.001619905,0.002905105,0.01068022,0.0008950986,0.00621138,0.007768393,0.002347613,0.01170489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225097,"about_ca_system_score_gemma":0.003510489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003791432,"about_ca_topic_score_gemma":0.006229201,"domain_scores_codex":[0.9975552,0.0005397248,0.0002992201,0.0008244448,0.0005852319,0.0001962595],"domain_scores_gemma":[0.9963683,0.001296661,0.0006387837,0.0007111177,0.0003784527,0.0006067524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005171443,0.0007395329,0.06029832,0.03459402,0.003218065,0.002991834,0.002194822,0.02726494,0.06239109,0.0490524,0.5801643,0.1719193],"study_design_scores_gemma":[0.0005453469,0.0004025307,0.01982519,0.002175156,0.0008177139,0.001332356,0.0009750807,0.04685367,0.01931798,0.06213174,0.8451476,0.0004756624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01936071,0.007747043,0.06256078,0.001079257,0.0006346646,0.0003522861,0.8341699,0.06360443,0.01049085],"genre_scores_gemma":[0.04860139,0.005283035,0.1384477,0.0007368656,0.0001685,0.0009125224,0.7980388,0.006132003,0.00167919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01967729,"threshold_uncertainty_score":0.06582707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07170393724238068,"score_gpt":0.340081410492003,"score_spread":0.2683774732496223,"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."}}