{"id":"W2786573877","doi":"10.5194/bg-15-2931-2018","title":"Distinctive effects of allochthonous and autochthonous organic matter on CDOM spectra in a tropical lake","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Ciência sem Fronteiras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Colored dissolved organic matter; Environmental science; Tropics; Oceanography; Organic matter; Geology; Climatology; Ecology; Biology; Nutrient; Phytoplankton","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001341803,0.0001128311,0.0001858258,0.0001106422,0.00008758921,0.00004448081,0.000183468,0.00004554053,0.001107027],"category_scores_gemma":[0.00007216015,0.00007987131,0.00002564628,0.0003620813,0.0003257324,0.0001023152,0.00002481802,0.00006470081,0.0001775316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002919091,"about_ca_system_score_gemma":0.00004373846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003931168,"about_ca_topic_score_gemma":0.06075837,"domain_scores_codex":[0.9989841,0.00006519504,0.0001798803,0.0003085784,0.0002034633,0.0002587859],"domain_scores_gemma":[0.9995076,0.0001987516,0.00006639883,0.0001224688,0.00001926954,0.00008552638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004098917,0.00003561199,0.9917449,0.00002996624,0.000002846856,0.00001601583,0.0001946798,6.162213e-7,0.0003238846,0.0000996884,0.00006450492,0.007446341],"study_design_scores_gemma":[0.0001995228,0.001043334,0.9957882,0.00003643104,0.000004418993,0.00001706788,0.00008904196,0.0007061874,0.000897863,0.0003084257,0.0008000182,0.0001095202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984508,0.00006698554,0.00005601938,0.0001097976,0.0003305675,0.0002033709,0.00002815923,0.00001476253,0.01468234],"genre_scores_gemma":[0.9994025,0.00001151594,0.0001413131,0.0001196428,0.0001064679,0.000001831107,0.000004568984,0.000001869066,0.0002102709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05682721,"threshold_uncertainty_score":0.9998061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005646748539416583,"score_gpt":0.1906932477502479,"score_spread":0.1850464992108314,"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."}}