{"id":"W4395679554","doi":"10.5376/mmr.2024.14.0003","title":"Environmental Microbial Diversity and Ecosystem Health Revealed by Metagenomics","year":2024,"lang":"en","type":"article","venue":"Molecular Microbiology Research","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metagenomics; Ecosystem; Diversity (politics); Ecology; Ecosystem health; Biodiversity; Environmental science; Biology; Ecosystem services","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001748046,0.0001899699,0.0002967708,0.0001001947,0.001430686,0.00003155222,0.0005232086,0.0002495339,0.002267499],"category_scores_gemma":[0.00002099353,0.0001871012,0.00007909627,0.0001913111,0.0008941603,0.00007298006,0.004352359,0.0008572708,0.001119811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000442303,"about_ca_system_score_gemma":0.0000354501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870273,"about_ca_topic_score_gemma":0.0004391154,"domain_scores_codex":[0.9965668,0.001792316,0.0002358035,0.0006193127,0.00007487559,0.0007108688],"domain_scores_gemma":[0.9992253,0.000216966,0.00003643248,0.0003631104,0.000004977422,0.0001532797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003198012,0.00006358799,0.002219978,0.00003234415,0.00006225061,0.00004110873,0.0006926944,0.000005660959,0.9365885,0.00007953207,0.05933003,0.0008523713],"study_design_scores_gemma":[0.00125925,0.001341881,0.007028627,0.00006905187,0.00005730532,0.001050041,0.0004251236,0.0001707592,0.0623853,0.001701416,0.9235293,0.0009818877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943293,0.002914196,0.0001035359,0.001336824,0.0001508571,0.0004186558,0.000326791,0.00004365451,0.0003761875],"genre_scores_gemma":[0.997642,0.000386792,0.0001645206,0.0007977581,0.00001848529,0.00001052714,0.0001993652,0.00002190312,0.0007586036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8742031,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240300932968468,"score_gpt":0.2800103644717625,"score_spread":0.2576073551420778,"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."}}