{"id":"W4392235552","doi":"10.1101/2024.02.27.582273","title":"Nitrogen cycling during an Arctic bloom: from chemolithotrophy to nitrogen assimilation","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Spanish National Plan for Scientific and Technical Research and Innovation; Agencia Estatal de Investigación; European Commission; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad","keywords":"Alphaproteobacteria; Gammaproteobacteria; Spring bloom; Phytoplankton; Biology; Bacteroidetes; Archaea; Nitrogen assimilation; Nitrogen cycle; Ecology; Bloom; Nitrate; Nutrient; Botany; Bacteria; Nitrogen; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001657354,0.0003326781,0.0002848781,0.0003916365,0.0004967078,0.0004877541,0.00008634249,0.0002042139,0.0002808588],"category_scores_gemma":[0.00008925072,0.0001391001,0.0003282874,0.0004597727,0.0001725097,0.0002335795,0.0003184768,0.0001801551,0.0001017658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057249,"about_ca_system_score_gemma":0.0005985204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881935,"about_ca_topic_score_gemma":0.03757921,"domain_scores_codex":[0.9999086,0.0000109718,0.000004326417,0.00002890274,0.00002180936,0.00002546407],"domain_scores_gemma":[0.9999319,0.000006450724,0.00001747645,0.000002775814,0.00002574079,0.00001561225],"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":[0.0005642694,0.00006094423,0.3271623,0.0002587423,0.0001493479,0.0003232647,0.0005030091,0.001617435,0.6547061,0.0001726626,0.0002023661,0.01427955],"study_design_scores_gemma":[0.00000511034,0.0001337771,0.9711277,0.00003813224,0.00007153219,0.0001734367,0.0007915872,0.003033518,0.02263304,0.0001597958,0.00181432,0.00001802436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99763,0.0009844698,0.0003669307,0.00003662208,0.000007744629,0.000004839676,0.0004547136,0.000008828564,0.0005057717],"genre_scores_gemma":[0.9973499,0.0007238939,0.0007048167,0.00003415649,0.000006224145,0.000006095708,0.0008257492,0.000004723462,0.000344605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02881935,"threshold_uncertainty_score":0.05730319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138725964217947,"score_gpt":0.2187360756240971,"score_spread":0.2073488159819177,"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."}}