{"id":"W2059340253","doi":"10.1016/j.watres.2014.10.013","title":"Relationships between molecular weight and fluorescence properties for size-fractionated dissolved organic matter from fresh and aged sources","year":2014,"lang":"en","type":"article","venue":"Water Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Dissolved organic carbon; Fluorescence; Organic matter; Chemistry; Environmental chemistry; Chromatography; Environmental science; Organic chemistry; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009122657,0.0000965408,0.0001389846,0.00007002301,0.0004399923,0.0002119224,0.0001374874,0.00007663167,0.001150254],"category_scores_gemma":[0.0001596049,0.00006012199,0.00001806247,0.00008349099,0.0001123129,0.0001832647,0.00006056523,0.0002681566,0.0001803398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003789242,"about_ca_system_score_gemma":0.00001235576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005349183,"about_ca_topic_score_gemma":0.002610055,"domain_scores_codex":[0.9985783,0.0003692712,0.0001602556,0.0002914951,0.0002741323,0.0003265126],"domain_scores_gemma":[0.9993186,0.0002969487,0.00002026419,0.0001578311,0.00007034658,0.000136027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005346157,0.000005090921,0.973394,0.0000552163,0.0000237501,0.000001907439,0.000530778,0.00000375076,0.02326361,0.000007582673,0.0004239799,0.002236811],"study_design_scores_gemma":[0.000462891,0.0001311702,0.9523058,0.00004526327,0.00001597915,0.000003278827,0.0003319931,0.003771516,0.0298852,0.00374466,0.009105511,0.0001967498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975257,0.0001507613,0.000154121,0.001159335,0.00003591475,0.0003116118,0.00004566323,0.0000210143,0.0005959056],"genre_scores_gemma":[0.9983045,0.00001268966,0.0002370533,0.00002836854,0.0001285142,0.000009371352,0.0001636097,0.000006974134,0.001108939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02108827,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022596751838382,"score_gpt":0.2392350723104296,"score_spread":0.1990091047920458,"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."}}