{"id":"W4205630908","doi":"10.2737/rds-2020-0045","title":"Data for \"Riverine dissolved organic carbon and freshwater export in the eastern Gulf of Alaska\"","year":2020,"lang":"en","type":"dataset","venue":"Forest Service Research Data Archive","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Vancouver Island University","funders":"Pacific Northwest Research Station","keywords":"Resource (disambiguation); Dissolved organic carbon; Agriculture; Marine research; Oceanography; Research data; Range (aeronautics); Environmental science; Service (business); Geography; Environmental resource management; Business; Geology; Engineering; Archaeology; Data science; Computer science; Data curation","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001637248,0.000320415,0.0004228472,0.0001400459,0.0001357145,0.0001097878,0.00858385,0.0001300837,0.00006423821],"category_scores_gemma":[0.0003006282,0.0002223006,0.00002830716,0.0005438403,0.0004610391,0.0004483303,0.01916111,0.000810618,0.0001197595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935994,"about_ca_system_score_gemma":0.00007914173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01476804,"about_ca_topic_score_gemma":0.1265201,"domain_scores_codex":[0.9960269,0.0003521962,0.000478336,0.001292319,0.001120477,0.0007297698],"domain_scores_gemma":[0.9942487,0.000673153,0.0001505331,0.004701586,0.00002842915,0.0001976148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002511925,0.0001761735,0.05913688,0.0005928982,0.00004586182,0.00006859429,0.0005013173,0.00001483907,0.0000289305,0.000003177667,0.9390628,0.0001173458],"study_design_scores_gemma":[0.0008255239,0.0002914565,0.01105673,0.0001656168,0.00006337982,0.00001245756,0.0003758105,0.05648883,0.000004850182,0.003011773,0.9273921,0.0003114482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04914542,0.00003063264,0.0000384915,0.001140249,0.00006360964,0.001214484,0.9483269,0.000008582856,0.00003161507],"genre_scores_gemma":[0.003472619,0.000534449,0.0003837458,0.0001944449,0.0001450274,0.00008096104,0.995138,0.00003567238,0.0000150803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1117521,"threshold_uncertainty_score":0.9967802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08602218165551634,"score_gpt":0.3250810057133864,"score_spread":0.2390588240578701,"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."}}