{"id":"W2001039519","doi":"10.1016/j.ecss.2012.01.006","title":"Distribution and lability of dissolved iron in surface waters of marginal seas in southeastern Asia","year":2012,"lang":"en","type":"article","venue":"Estuarine Coastal and Shelf Science","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; National Science Council","keywords":"Lability; Estuary; Oceanography; Seawater; Environmental science; Dissolved organic carbon; China sea; Shore; Surface water; Environmental chemistry; Submarine pipeline; Geology; Chemistry; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065442,0.00009424744,0.0001935888,0.00005653334,0.00004525852,0.00001836531,0.0001191925,0.00002634768,0.00005586978],"category_scores_gemma":[0.00004631389,0.00007234472,0.00001506911,0.0003674391,0.000428236,0.0004250477,0.0001009172,0.00007723119,0.000002874772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003464193,"about_ca_system_score_gemma":0.00003818781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01742062,"about_ca_topic_score_gemma":0.01229982,"domain_scores_codex":[0.9989212,0.00004912985,0.0002668924,0.0002073303,0.0002427531,0.0003127366],"domain_scores_gemma":[0.9996167,0.00004892572,0.00007115601,0.0001054026,0.00002868039,0.0001290782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005343014,0.00004102719,0.9931973,0.0000771856,6.778143e-7,0.000001143214,0.0003728608,0.00008055818,0.0006569485,0.0000715063,8.290036e-7,0.005446576],"study_design_scores_gemma":[0.0002375267,0.0001061099,0.9945385,0.00002897181,0.000002299197,0.00000660336,0.0007884096,0.003633299,0.0004634111,0.00007192332,0.0000415922,0.0000813036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980028,0.00008165496,0.00002068579,0.00006478694,0.0000657554,0.0001171157,0.00005598872,0.000004321902,0.001586932],"genre_scores_gemma":[0.9998227,0.00001472443,0.00005261923,0.000003205905,0.000009808818,4.099349e-7,0.00002312843,0.000001035681,0.00007233259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005365272,"threshold_uncertainty_score":0.9891225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008701596558918837,"score_gpt":0.2022281875946807,"score_spread":0.1935265910357619,"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."}}