{"id":"W2131954225","doi":"10.1897/06-315r.1","title":"Application of the biotic ligand model to explain potassium interaction with thallium uptake and toxicity to plankton","year":2007,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Thallium and Germanium Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Efflux; Biotic Ligand Model; Toxicity; Cyanobacteria; Bioaccumulation; Chlorella; Potassium; Chlorophyta; Environmental chemistry; Strain (injury); Algae; EC50; Biology; Chemistry; Ligand (biochemistry); Synechococcus; Thallium; Biophysics; Ecotoxicology; Biochemistry; Botany; In vitro; Bacteria; Inorganic chemistry; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001109794,0.0001239815,0.0001130185,0.000008697221,0.000129229,0.000005170967,0.00009702886,0.00008410192,0.00004991661],"category_scores_gemma":[0.000003707505,0.00009177945,0.00001637689,0.00004998455,0.0002274126,0.00004903084,0.0002030764,0.0001003916,0.00001156433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008600639,"about_ca_system_score_gemma":0.000002027308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001198096,"about_ca_topic_score_gemma":0.00006880381,"domain_scores_codex":[0.9992867,0.000007808869,0.0001367026,0.0002753441,0.0001171527,0.0001763207],"domain_scores_gemma":[0.9996603,0.0000273084,0.00005792449,0.0001530247,8.331175e-7,0.0001006617],"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":[0.0001001092,0.00008888463,0.04287933,0.00001052385,0.000009087594,0.000001181367,0.0007229162,0.0007850276,0.9540238,0.000004396808,0.0001093803,0.001265401],"study_design_scores_gemma":[0.0001813211,0.0000799836,0.2901052,0.000006980023,0.00001602193,0.00002849331,0.0004506139,0.0002372122,0.7081409,0.00003746667,0.0005996206,0.0001161833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961376,0.0000259898,0.001219709,0.0004290455,0.00002211235,0.000193716,0.00001465969,0.000008277551,0.001948934],"genre_scores_gemma":[0.9988424,0.00001926396,0.0003556339,0.0003699815,0.00001952261,0.00001685507,0.000003247213,0.00000712781,0.0003660063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472259,"threshold_uncertainty_score":0.3742658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006508139154558408,"score_gpt":0.2135767333725431,"score_spread":0.2070685942179847,"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."}}