{"id":"W4410040395","doi":"10.1111/1758-2229.70072","title":"Microbial Responses to Micronutrient Amendments in Oxygenated and Deoxygenated Waters of the Arabian Sea","year":2025,"lang":"en","type":"article","venue":"Environmental Microbiology Reports","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Jenny ja Antti Wihurin Rahasto; Saastamoisen säätiö; OLVI-Säätiö; Council of Scientific and Industrial Research, India; Department of Science and Technology, Ministry of Science and Technology, India; Itä-Suomen Yliopisto","keywords":"Microcosm; Microbial population biology; Micronutrient; Nutrient; Environmental chemistry; Nitrate; Biology; Nitrogen cycle; Archaea; Food science; Ecology; Chemistry; Bacteria; Nitrogen","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":[0.0004157969,0.0002461549,0.0003508545,0.0001198953,0.0002071694,0.000006601491,0.0003425654,0.0002417647,0.0006611947],"category_scores_gemma":[0.00004193146,0.0002004888,0.00007910948,0.0002825765,0.0009474186,0.00005179961,0.001249845,0.000320154,0.00005008759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989703,"about_ca_system_score_gemma":0.00002223959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00034679,"about_ca_topic_score_gemma":0.0005162889,"domain_scores_codex":[0.9978828,0.0005125302,0.0005900109,0.0005414824,0.00004397177,0.0004292463],"domain_scores_gemma":[0.9990867,0.00008365817,0.0001957395,0.0005664311,0.000002793488,0.00006472886],"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":[0.0001468908,0.0001658932,0.2933154,0.000005442433,0.00002415445,0.00001994214,0.0002851386,0.00006899211,0.7036472,0.000002459908,0.00222227,0.00009615426],"study_design_scores_gemma":[0.0005262166,0.000107824,0.6062061,0.00003677704,0.00002170479,0.0002420493,0.0001028243,0.000002168447,0.3706643,0.0001719953,0.02170395,0.0002141466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977529,0.00007704238,0.000005353986,0.000684262,0.0003643985,0.0006746929,0.00006116806,0.0000135062,0.0003666643],"genre_scores_gemma":[0.9970117,0.00002745504,0.0001561236,0.0015498,0.00000454541,0.00002411532,0.00008061266,0.00001217197,0.001133446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3329829,"threshold_uncertainty_score":0.8175698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003402014328545035,"score_gpt":0.1994776116822193,"score_spread":0.1960755973536743,"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."}}