{"id":"W4389569130","doi":"10.1101/2023.12.08.570822","title":"Microbial metabolic specificity controls pelagic lipid export efficiency","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Science for Life Laboratory; Natural Sciences and Engineering Research Council of Canada; European Commission; National Science Foundation; Vetenskapsrådet; Gordon and Betty Moore Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Pelagic zone; Monoacylglycerol lipase; Lipidomics; Mesopelagic zone; Biology; Degradation (telecommunications); Bacteria; Food science; Biochemistry; Ecology","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":[0.0001262389,0.0003137627,0.0002326221,0.0002002957,0.0001542046,0.0006042016,0.0001355628,0.0002907875,0.000676633],"category_scores_gemma":[0.0002633463,0.0002037185,0.0001827222,0.0001498177,0.0002159087,0.0003366303,0.0004652051,0.0001915261,0.0002914823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004279646,"about_ca_system_score_gemma":0.0002149162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883087,"about_ca_topic_score_gemma":0.002207633,"domain_scores_codex":[0.9998651,0.00001182031,0.000007767192,0.00005547504,0.00002722318,0.0000327021],"domain_scores_gemma":[0.9998775,0.00002147462,0.0000415827,0.00001233527,0.00002278696,0.00002434763],"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":[0.00005359462,0.0000089489,0.01054545,0.00002479023,0.000007761412,0.00002429044,0.00002096341,0.0004380914,0.9874978,0.0001019664,0.00002772554,0.001248683],"study_design_scores_gemma":[0.00001620034,0.0002019133,0.2888923,0.00001117773,0.00003295163,0.0002078506,0.0004373792,0.04330323,0.6648979,0.0005836663,0.001385451,0.00003008733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986324,0.00007548351,0.0007875027,0.00002760357,0.000002015817,0.00000244567,0.00008816193,0.00001230298,0.0003720078],"genre_scores_gemma":[0.9991928,0.00005198074,0.000366936,0.000009437812,0.000001098949,0.000003042735,0.00007598383,0.000004341773,0.000294448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002883087,"threshold_uncertainty_score":0.005732596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855778138187377,"score_gpt":0.2179221409061927,"score_spread":0.1993643595243189,"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."}}