{"id":"W2093691647","doi":"10.1016/s0043-1354(02)00424-4","title":"Variation in iron, aluminum and dissolved organic carbon mass transfer coefficients in lakes","year":2003,"lang":"en","type":"article","venue":"Water Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; York University","funders":"","keywords":"Dissolved organic carbon; Calibration; Mass transfer; Total organic carbon; Aluminium; Chemistry; Carbon fibers; Constant (computer programming); Mass transfer coefficient; Range (aeronautics); Environmental chemistry; Environmental science; Soil science; Mathematics; Statistics; Materials science; Chromatography","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":[0.0002536362,0.0001709192,0.0002540827,0.0005328214,0.0005055831,0.0004484348,0.000293136,0.0003389812,0.0004962956],"category_scores_gemma":[0.000916794,0.0003078828,0.0001539775,0.0005476092,0.0004629512,0.0003831839,0.0003129764,0.0001911061,0.0001407279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008799067,"about_ca_system_score_gemma":0.0003568888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02573377,"about_ca_topic_score_gemma":0.03201392,"domain_scores_codex":[0.9998472,0.00004156855,0.000009432832,0.00004590573,0.00003018109,0.00002574899],"domain_scores_gemma":[0.9995881,0.0001374951,0.0001087906,0.00002193748,0.00009764325,0.00004606639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002276581,0.00009772029,0.8855016,0.00005371918,0.0002246603,0.0002260431,0.002267159,0.002110691,0.1007022,0.000410361,0.0003639593,0.005765272],"study_design_scores_gemma":[0.00001283354,0.0001191225,0.9905255,0.000002472711,0.00004556309,0.00009979133,0.000520304,0.00232404,0.005954586,0.0001002435,0.0002848544,0.00001079145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996979,0.00002172369,0.00006256605,0.000006803593,5.16403e-7,0.000001017607,0.0000685144,0.000004133216,0.0001368068],"genre_scores_gemma":[0.999629,0.00001526191,0.00007478269,0.000003654161,6.764485e-7,0.000003027552,0.00008278919,0.000002610856,0.0001881907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573377,"threshold_uncertainty_score":0.05116796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238811669102588,"score_gpt":0.2414710894611492,"score_spread":0.2190829727701233,"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."}}