{"id":"W2040633573","doi":"10.1007/s10498-015-9254-2","title":"Development of an In Situ Ion-Exchange Technique for the Determination of Free Cd, Co, Ni, and Zn Concentrations in Freshwaters","year":2015,"lang":"en","type":"article","venue":"Aquatic Geochemistry","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Institut National de la Recherche Scientifique","funders":"Natural Resources Canada","keywords":"Chemistry; Aqueous solution; Environmental chemistry; Metal; In situ; Ion exchange; Genetic algorithm; Metal ions in aqueous solution; Analytical Chemistry (journal); Ion; Physical chemistry; Organic chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005921251,0.00005667072,0.00008367246,0.00001539065,0.00002396971,0.000005192136,0.0001244951,0.00004655977,0.00004372049],"category_scores_gemma":[0.00005923666,0.00004672763,0.000009525398,0.00006661263,0.0001043198,0.0000708649,0.00004600554,0.0000401844,0.000001095261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009171887,"about_ca_system_score_gemma":0.00003800363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004255854,"about_ca_topic_score_gemma":0.003800211,"domain_scores_codex":[0.9993842,0.00003023665,0.0002438491,0.0001043306,0.0001419048,0.00009553591],"domain_scores_gemma":[0.9996662,0.00005417131,0.00008891341,0.0001481089,0.000006561969,0.0000360027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001937412,0.0001490509,0.01794903,0.000078789,0.000003534733,6.886866e-7,0.009834277,0.00005571355,0.9679086,0.00002968053,0.000192145,0.003779135],"study_design_scores_gemma":[0.0005563859,0.00002470198,0.01285038,0.00003042127,0.000004624426,0.000001419422,0.001421948,0.002252323,0.9811128,0.001279748,0.0003941449,0.0000710636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935288,0.0000153505,0.005253849,0.0002429594,0.00001554999,0.0003372671,0.00001526622,0.000003475876,0.0005874383],"genre_scores_gemma":[0.9846258,0.000002518015,0.01517214,0.00002613874,0.000004585428,0.00009839751,0.00002737185,0.000002410027,0.00004059629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320426,"threshold_uncertainty_score":0.2120607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545520040595326,"score_gpt":0.2883974803731175,"score_spread":0.2529422799671642,"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."}}