{"id":"W2804989478","doi":"10.1002/lol2.10077","title":"Pipes or chimneys? For carbon cycling in small boreal lakes, precipitation matters most","year":2018,"lang":"en","type":"article","venue":"Limnology and Oceanography Letters","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Miljødirektoratet; Norges Forskningsråd; NordForsk","keywords":"Dissolved organic carbon; Terrigenous sediment; Environmental science; Precipitation; Deposition (geology); Hydrology (agriculture); Carbon cycle; Sediment; Environmental chemistry; Geology; Oceanography; Ecosystem; Ecology; Geomorphology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003662844,0.0003109068,0.0003307825,0.0001453076,0.0002684393,0.0006583137,0.0001949499,0.0003386637,0.002377948],"category_scores_gemma":[0.000787881,0.000143522,0.0002431978,0.0002217286,0.0007310215,0.001169196,0.0001826694,0.0001503909,0.0001884498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002864021,"about_ca_system_score_gemma":0.0002650713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063676,"about_ca_topic_score_gemma":0.02219945,"domain_scores_codex":[0.9999161,0.00002261128,0.000005077551,0.00002729585,0.00001126951,0.00001757769],"domain_scores_gemma":[0.9997041,0.00008095238,0.0001141392,0.00001619537,0.00002322536,0.00006137905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006465285,0.00004314716,0.8852313,0.0003181204,0.0002516599,0.0004313799,0.0007707935,0.0037261,0.03199444,0.003596358,0.002580781,0.07040948],"study_design_scores_gemma":[0.00001678837,0.0001722628,0.979794,0.00006320344,0.0001639147,0.0001879098,0.001403727,0.00713615,0.001971239,0.004045772,0.005008663,0.00003639714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898753,0.001758876,0.003136376,0.001921734,0.00007049601,0.00001362832,0.0002916614,0.00008624174,0.002845686],"genre_scores_gemma":[0.9986717,0.0003691383,0.0003232254,0.0001553729,0.00003500969,0.000001761431,0.00003039363,0.00001019971,0.0004032868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063676,"threshold_uncertainty_score":0.02114975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089585380139324,"score_gpt":0.1995513973711308,"score_spread":0.1886555435697376,"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."}}