{"id":"W3108655396","doi":"10.1101/2020.04.03.024174","title":"Size-Based Characterization of Freshwater Dissolved Organic Matter finds Similarities within a Water Body Type across Different Canadian Ecozones","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Environment and Climate Change Canada; University of Waterloo","funders":"Environment and Climate Change Canada; University of Waterloo; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Dissolved organic carbon; Composition (language); Surface water; Organic matter; Environmental science; Range (aeronautics); Environmental chemistry; Chemistry; Ecology; Biology; Materials science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001923986,0.0003211247,0.0003193993,0.002315066,0.001374795,0.0009238172,0.000420955,0.0002232262,0.001245843],"category_scores_gemma":[0.0004895665,0.0001475196,0.0003657565,0.002104852,0.0006590893,0.0002433379,0.0005973772,0.0002043496,0.0001770359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004452694,"about_ca_system_score_gemma":0.004080885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9221572,"about_ca_topic_score_gemma":0.9548432,"domain_scores_codex":[0.9997328,0.000006940068,0.000007156219,0.00008428747,0.00009114657,0.00007759772],"domain_scores_gemma":[0.9996227,0.00002119229,0.0000422944,0.00001372676,0.0002432691,0.00005682732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002661049,0.00002986719,0.822379,0.0001361575,0.0002051383,0.0001111792,0.002141622,0.0007554691,0.1429235,0.0004048246,0.001290135,0.02935698],"study_design_scores_gemma":[0.000001211289,0.000006396272,0.9968823,0.000004298785,0.00001493779,0.00001920935,0.0003998684,0.0002453402,0.001583815,0.00001863642,0.0008171314,0.000006949288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943426,0.0001958052,0.000708348,0.00004429316,0.000003575642,0.00001919395,0.00261867,0.00003833414,0.002029139],"genre_scores_gemma":[0.9951988,0.0001463626,0.00127322,0.00003566757,0.000001461517,0.00001314303,0.002240948,0.00002111517,0.001069369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07784277,"threshold_uncertainty_score":0.1566024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009745638896003387,"score_gpt":0.1795142668371633,"score_spread":0.16976862794116,"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."}}