{"id":"W2137955972","doi":"10.1002/etc.5620191218","title":"Use of nonlinear regression techniques for describing concentration-response relationships of plant species exposed to contaminated site soils","year":2000,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Guelph","funders":"","keywords":"Contamination; Soil water; Nonlinear regression; Soil contamination; Environmental science; Confidence interval; Logistic regression; Regression analysis; Statistics; Environmental chemistry; Mathematics; Soil science; Ecology; Biology; Chemistry","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":[0.005214476,0.0009960632,0.0005910928,0.001209811,0.0002447214,0.000500281,0.0009412926,0.0005042035,0.001819564],"category_scores_gemma":[0.01489987,0.0004234643,0.001068694,0.001074573,0.0004817648,0.0008158867,0.0006866399,0.001219178,0.0007380758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006902464,"about_ca_system_score_gemma":0.0005614715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344738,"about_ca_topic_score_gemma":0.004139057,"domain_scores_codex":[0.9977549,0.00145643,0.0001223157,0.0002414929,0.0003490033,0.00007601956],"domain_scores_gemma":[0.9927107,0.005135788,0.0008395945,0.0006881465,0.0005817271,0.00004396363],"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":[0.0009311881,0.0005539503,0.04458712,0.001054203,0.0008465233,0.0003601957,0.0006610434,0.4568531,0.2918447,0.0114399,0.0009138996,0.1899542],"study_design_scores_gemma":[0.00004969925,0.001212478,0.03734973,0.00004588757,0.0001528209,0.0003529895,0.0002217214,0.8889407,0.05798016,0.009118386,0.00445097,0.000124429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1528588,0.000332548,0.84403,0.00008664581,0.0000175476,0.0002808904,0.0005579833,0.0004774768,0.001358084],"genre_scores_gemma":[0.6934369,0.0007691642,0.2998628,0.00006930534,0.00002076723,0.001229414,0.001073421,0.0002084551,0.003329797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005214476,"threshold_uncertainty_score":0.02757716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04145694486287724,"score_gpt":0.2314346680602341,"score_spread":0.1899777231973568,"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."}}