{"id":"W3167182207","doi":"10.1088/1748-9326/ac0be3","title":"The role of lake morphometry in modulating surface water carbon concentrations in boreal lakes","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemistry; Boreal; Environmental science; Carbon fibers; Shore; Physical geography; Carbon cycle; Ecology; Hydrology (agriculture); Geology; Oceanography; Ecosystem; Geography; Biology","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":[0.0003308371,0.00018682,0.0001793237,0.000564812,0.0004772691,0.0007066076,0.0002833809,0.0002182568,0.0008902],"category_scores_gemma":[0.001131659,0.0001354362,0.0002473029,0.0006172009,0.000525216,0.0003736123,0.0003590124,0.0001171674,0.00006217299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845515,"about_ca_system_score_gemma":0.0008271876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5311559,"about_ca_topic_score_gemma":0.5861431,"domain_scores_codex":[0.9998946,0.0000277783,0.00000607616,0.00003142942,0.0000161447,0.00002401209],"domain_scores_gemma":[0.9994324,0.0001561528,0.0001412714,0.00003287703,0.0001585597,0.00007870966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007973351,0.00001295628,0.9879081,0.00001499233,0.00008677213,0.000052994,0.0001789481,0.003283395,0.004279575,0.0001225004,0.0001806156,0.00379945],"study_design_scores_gemma":[0.000001074217,0.000004354264,0.995741,0.000001345282,0.000005992791,0.000006789439,0.00008043194,0.00398279,0.00008511939,0.00002432245,0.00006329066,0.000003420449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991279,0.00004453791,0.0001869276,0.00003840463,0.000001019567,0.000002777473,0.00018283,0.00001292589,0.000402656],"genre_scores_gemma":[0.9997939,0.000008159296,0.00007704522,0.000004817962,4.18983e-7,8.206005e-7,0.00005834471,0.000001889758,0.00005450968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5311559,"threshold_uncertainty_score":0.9432105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176249005492903,"score_gpt":0.2198226281276418,"score_spread":0.2080601380727128,"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."}}