{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002259552,0.0002307266,0.0003820145,0.0007133475,0.00235902,0.001092158,0.0004994067,0.0005336371,0.0002642069],"category_scores_gemma":[0.0003274678,0.0002004679,0.0001828976,0.001002148,0.0007836919,0.0002508427,0.0004194977,0.0003717708,0.00007246818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00712443,"about_ca_system_score_gemma":0.006309227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9177624,"about_ca_topic_score_gemma":0.9492177,"domain_scores_codex":[0.9997368,0.00001183106,0.000009323899,0.00007072939,0.0001182765,0.000053036],"domain_scores_gemma":[0.9998071,0.00001721002,0.00001975221,0.000006235399,0.0001181695,0.00003158773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009202946,0.0003706441,0.7285997,0.00009496804,0.0001511792,0.0006924663,0.003654056,0.003349128,0.2279285,0.0005137144,0.0007968369,0.0329286],"study_design_scores_gemma":[0.00001763487,0.00004361543,0.984777,0.000004299293,0.00003523782,0.00008580845,0.001148949,0.002504123,0.01017932,0.00004836092,0.001139894,0.00001580174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988976,0.00003746454,0.0002178958,0.00001979935,0.000001390459,0.00001135959,0.0002128067,0.00001190097,0.0005897681],"genre_scores_gemma":[0.9975672,0.00005445747,0.001102431,0.00003267007,0.000001370746,0.00001128852,0.0003238547,0.000006682811,0.0009000393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0822376,"threshold_uncertainty_score":0.1654438,"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."}}