{"id":"W4378761654","doi":"10.5194/bg-9-3679-201210.5194/bgd-9-6015-2012","title":"Carbon fluxes in the Canadian Arctic: patterns and drivers of bacterial abundance, production and respiration on the Beaufort Sea margin","year":2012,"lang":"en","type":"article","venue":"HAL AMU","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Beaufort sea; Abundance (ecology); Arctic; Environmental science; Respiration; Beaufort scale; Oceanography; Carbon flux; Margin (machine learning); Ecology; Biology; Ecosystem; Geology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441194,0.00004639499,0.00005160276,0.00003554617,0.00007469679,0.00002910844,0.00004174105,0.0000221757,0.0001036141],"category_scores_gemma":[0.00002413801,0.00002621977,0.000006981768,0.00005570986,0.00002982607,0.0000862993,0.000003866285,0.00005746054,0.000002082056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004482342,"about_ca_system_score_gemma":0.0000214802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6113281,"about_ca_topic_score_gemma":0.9663653,"domain_scores_codex":[0.9995654,0.00007346676,0.00007407992,0.00007646704,0.00009214318,0.0001184354],"domain_scores_gemma":[0.9998139,0.00003268671,0.00002935097,0.00007420027,0.00001044146,0.00003948202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001180857,0.000003320593,0.9932133,0.00001426634,0.00000217921,6.53329e-7,0.0006650269,0.000007258217,0.00001318278,0.0001063601,0.00005124467,0.005911394],"study_design_scores_gemma":[0.00004548335,0.00005242337,0.9950879,0.00001648286,0.000003485809,0.000006448726,0.0002404373,0.0002410945,0.0000613656,0.00003347737,0.004175032,0.00003632034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944635,0.00002942925,1.882886e-7,0.0006684054,0.0001958966,0.0001492212,0.00002098488,0.000001927054,0.00447042],"genre_scores_gemma":[0.9996157,0.00001394431,0.000002811508,0.00009420974,0.0001833429,0.000001660339,0.00002373112,9.733972e-7,0.00006358793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3550371,"threshold_uncertainty_score":0.3912601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393393892935863,"score_gpt":0.1814184313683562,"score_spread":0.1674844924389976,"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."}}