{"id":"W4402314183","doi":"10.21203/rs.3.rs-4879883/v1","title":"Tin contamination in sediments of Lake Zurich: source, spread, history and risk assessment","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Contamination; Environmental chemistry; Sediment; Pollution; Energy-dispersive X-ray spectroscopy; Water column; Scanning electron microscope; Environmental science; Geology; Chemistry; Materials science; Oceanography; Geomorphology","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":[0.0002640772,0.000320886,0.0001627864,0.001652336,0.0006575537,0.0006922946,0.0001828306,0.0003169254,0.001204916],"category_scores_gemma":[0.0004226019,0.0001594755,0.0001535659,0.001151403,0.0003537386,0.0002876497,0.0005583506,0.0001183317,0.0001202566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009274817,"about_ca_system_score_gemma":0.0008958657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07322309,"about_ca_topic_score_gemma":0.131503,"domain_scores_codex":[0.9998455,0.00002159339,0.00001410693,0.00004277776,0.00004024214,0.0000357949],"domain_scores_gemma":[0.9998618,0.00002771637,0.00004064573,0.000008086226,0.00004511743,0.00001658176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002202646,0.00008422037,0.8952774,0.0003093725,0.0001579891,0.001215794,0.002475655,0.007003926,0.04207058,0.0005700221,0.0007876712,0.04784482],"study_design_scores_gemma":[0.0000224457,0.0003306396,0.9824302,0.00002468476,0.00006894588,0.0002884844,0.001372217,0.003508387,0.008727595,0.0003919757,0.002816804,0.00001761012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982085,0.0003527442,0.0003032337,0.00002969281,0.000004483778,0.000008954023,0.0003341184,0.00001015707,0.000748121],"genre_scores_gemma":[0.9976575,0.0003058243,0.000310296,0.000002885301,0.00000270774,0.0000035772,0.0002349613,0.000003726439,0.001478401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07322309,"threshold_uncertainty_score":0.1455938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023561890562122,"score_gpt":0.3584975070733264,"score_spread":0.3182618881677052,"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."}}