{"id":"W3179172644","doi":"10.1029/2020jg006233","title":"Hidden Stores of Organic Matter in Northern Lake Ice: Selective Retention of Terrestrial Particles, Phytoplankton and Labile Carbon","year":2021,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Canada First Research Excellence Fund; Canada Research Chairs; ArcticNet; Parks Canada; Canada Foundation for Innovation; Garfield Weston Foundation; Polar Knowledge Canada; Université du Québec à Chicoutimi","keywords":"Biogeochemical cycle; Dissolved organic carbon; Sea ice; Phytoplankton; Environmental science; Carbon cycle; Environmental chemistry; Organic matter; Arctic; Oceanography; Chlorophyll a; Boreal; Ecosystem; Nutrient; Ecology; Chemistry; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143111,0.00007434113,0.0002567171,0.0001574841,0.0000717474,0.00003175989,0.0002096041,0.00004785645,0.0001106682],"category_scores_gemma":[0.0004267863,0.00005278309,0.00005865494,0.0008309694,0.000558407,0.0002187894,0.00003800221,0.0002966681,0.000003801526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001084596,"about_ca_system_score_gemma":0.0004026822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082909,"about_ca_topic_score_gemma":0.02742273,"domain_scores_codex":[0.9980555,0.0002992339,0.0003712364,0.0001713799,0.000820911,0.0002817046],"domain_scores_gemma":[0.9987999,0.0004913629,0.000215599,0.00009232023,0.0002942545,0.000106553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000135433,0.00008613268,0.9857155,0.00002747804,0.00001220079,0.0000267489,0.0005067,0.000003881218,0.007644005,0.00001080387,0.00001589503,0.005815239],"study_design_scores_gemma":[0.0003535652,0.0005786577,0.9905397,0.00009058379,0.00001059393,0.0000221991,0.001629092,0.0009644039,0.003355478,0.002367341,0.00003058122,0.00005776015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990375,0.0001644424,0.000005654188,0.0003919139,0.0001161357,0.00006781502,0.0000230216,0.00000129886,0.0001921852],"genre_scores_gemma":[0.9995256,0.0001245742,0.0001846518,0.000009375149,0.0001120431,2.515981e-7,0.00000502296,0.000001924378,0.00003652892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233982,"threshold_uncertainty_score":0.9903243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163666688324167,"score_gpt":0.2694358839119397,"score_spread":0.2477992170286981,"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."}}