{"id":"W1991736397","doi":"10.1080/03067310500249997","title":"A simple model to predict compound loss processes in aquatic ecotoxicological tests: calculated and measured triphenyltin levels in water and biota","year":2005,"lang":"en","type":"article","venue":"International Journal of Environmental & Analytical Chemistry","topic":"Marine Biology and Environmental Chemistry","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Biota; Environmental chemistry; Environmental science; Chemistry; Ecotoxicology; Extraction (chemistry); Aquatic ecosystem; Bioconcentration; Derivatization; Ecology; Bioaccumulation; Chromatography; Biology; High-performance liquid chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000418743,0.001038574,0.001018814,0.0005807788,0.0003371086,0.000780918,0.001308123,0.001755381,0.001480959],"category_scores_gemma":[0.001355822,0.0004780605,0.0009962057,0.0004180781,0.0004065843,0.001072287,0.0005401835,0.0009739719,0.0005001861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009070068,"about_ca_system_score_gemma":0.0008486903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009874362,"about_ca_topic_score_gemma":0.004519509,"domain_scores_codex":[0.999811,0.00003233944,0.00001216587,0.00006423919,0.00005126809,0.00002902224],"domain_scores_gemma":[0.9996768,0.0001893346,0.00004255779,0.00001899036,0.00006011795,0.00001229996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004241148,0.00003406035,0.00114689,0.00009560939,0.00003834135,0.000091264,0.00003500965,0.9801926,0.01064616,0.00157262,0.000204513,0.005900604],"study_design_scores_gemma":[0.000009505106,0.00003769218,0.0003694541,0.000003488027,0.00001665037,0.00003054421,0.00000433202,0.9966062,0.001622957,0.0009291707,0.000360832,0.000009167564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1706236,0.0007268578,0.8194124,0.0003380448,0.0001188158,0.0002407027,0.001259527,0.001054405,0.006225724],"genre_scores_gemma":[0.9462926,0.0007298994,0.04175996,0.0001394071,0.00003706597,0.000872653,0.0006348041,0.0001305158,0.009403016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009874362,"threshold_uncertainty_score":0.01963377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427578616017366,"score_gpt":0.2399985769120015,"score_spread":0.2257227907518278,"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."}}