{"id":"W3042448051","doi":"","title":"Whole watershed spectrometric and fluorometric characterization of dissolved organic matter in two large rivers in Canada with differing impact","year":2009,"lang":"en","type":"article","venue":"AGUSM","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Environmental chemistry; Natural organic matter; Dissolved organic carbon; Organic matter; Chemistry; Environmental engineering; Water treatment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063832,0.00009168523,0.0001747592,0.000255704,0.00002057421,0.00001393347,0.00007880793,0.00001363876,0.0001846326],"category_scores_gemma":[0.000006577186,0.00006980621,0.00001533305,0.001492188,0.00001369179,0.0001387865,0.00002976092,0.00006564536,0.000008644707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626126,"about_ca_system_score_gemma":0.0000125128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5015419,"about_ca_topic_score_gemma":0.1185873,"domain_scores_codex":[0.999235,0.0000326993,0.0001573173,0.0001737277,0.0001745905,0.0002266165],"domain_scores_gemma":[0.9997666,0.00001321763,0.00005264676,0.0001124031,0.000002553371,0.00005256501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005868618,0.00002585851,0.7155221,0.000002695783,0.000003963672,0.000007417935,0.0001969713,0.00004412115,0.2839091,1.188623e-7,0.000002061809,0.0002798015],"study_design_scores_gemma":[0.0004111548,0.00003807329,0.9750828,0.00001359283,0.000007224153,0.000001260408,0.00005238339,0.0001940227,0.02409598,0.000008871814,0.00000311711,0.00009155206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997432,0.000007065158,0.0000401237,0.0001109707,0.00001131957,0.00005384727,0.000006030124,0.000004250498,0.00002324749],"genre_scores_gemma":[0.9998397,0.000005974869,0.00004245062,0.00002033444,0.000007280911,9.591461e-7,0.00001586206,0.000005424261,0.00006197916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3829545,"threshold_uncertainty_score":0.8974962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004476581397303971,"score_gpt":0.2071670896924251,"score_spread":0.2026905082951212,"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."}}