{"id":"W2064251425","doi":"10.1016/j.chemosphere.2005.04.054","title":"Determination of perchlorate in selected surface waters in the Great Lakes Basin by HPLC/MS/MS","year":2005,"lang":"en","type":"article","venue":"Chemosphere","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Perchlorate; Environmental chemistry; Environmental science; Surface water; Deposition (geology); Structural basin; Hydrology (agriculture); Chemistry; Environmental engineering; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001969409,0.0001259332,0.0001631415,0.00000486103,0.00002585349,0.00001664807,0.0002153962,0.00006660198,0.002866852],"category_scores_gemma":[0.00001816382,0.00008662854,0.00004602999,0.0003955718,0.0001267872,0.0001961068,0.00005354399,0.000121822,0.000104257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367841,"about_ca_system_score_gemma":0.000002844046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196825,"about_ca_topic_score_gemma":0.000799934,"domain_scores_codex":[0.9990587,0.00004590705,0.0002262684,0.0002179854,0.0002192097,0.0002318808],"domain_scores_gemma":[0.9996883,0.00003643599,0.00005548283,0.0001731263,0.000002342882,0.00004428354],"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":[0.00003005742,0.0003143427,0.4254096,0.00001095655,0.000005115675,0.000004354337,0.001430718,0.002689111,0.5422919,5.625606e-7,0.004666077,0.02314723],"study_design_scores_gemma":[0.000770397,0.00005260441,0.3972079,0.0000318942,0.00002101384,0.000006179685,0.0004125563,0.0147078,0.5795673,0.0000738357,0.006838874,0.0003096754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951723,0.00003872114,0.00001746225,0.0007285795,0.000005231982,0.0001033291,0.000005603617,0.000007311098,0.003921523],"genre_scores_gemma":[0.998156,0.00004753576,0.0005867474,0.000200387,0.000008267696,0.000004603386,0.00002586437,0.000008706855,0.00096188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0372754,"threshold_uncertainty_score":0.9980447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006795950299670869,"score_gpt":0.2066337476809391,"score_spread":0.1998377973812683,"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."}}