{"id":"W950380467","doi":"10.1016/j.ecoenv.2015.07.026","title":"Thresholds of copper phytotoxicity in field-collected agricultural soils exposed to copper mining activities in Chile","year":2015,"lang":"en","type":"article","venue":"Ecotoxicology and Environmental Safety","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Lolium perenne; Phytotoxicity; Soil water; Shoot; Agronomy; Soil contamination; Perennial plant; Environmental science; Nutrient; Soil pH; Environmental chemistry; Chemistry; Biology; Soil science","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":[0.0001957755,0.0001960106,0.0002153572,0.000714254,0.0004700885,0.0006212441,0.0003742533,0.0002795708,0.001133809],"category_scores_gemma":[0.0004589022,0.0002087531,0.0001395775,0.0005071614,0.0003772491,0.0003451252,0.0005040531,0.0002300816,0.0002100428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702336,"about_ca_system_score_gemma":0.000922301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05781453,"about_ca_topic_score_gemma":0.05448673,"domain_scores_codex":[0.9998554,0.00001923965,0.000009754978,0.00004958354,0.00002278794,0.00004320236],"domain_scores_gemma":[0.9996343,0.00007435085,0.00009277084,0.00002005371,0.0001323305,0.0000462255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001596381,0.0003470333,0.6727976,0.000340406,0.0000885694,0.0007435182,0.004978542,0.0005770847,0.3060623,0.0004142541,0.0005641344,0.01149019],"study_design_scores_gemma":[0.00001798277,0.0001603374,0.9806832,0.00002222803,0.00002437196,0.000174863,0.005242302,0.0004457523,0.01184919,0.0001519543,0.001215811,0.00001201844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989514,0.00007163407,0.00007483868,0.00001448341,7.535224e-7,0.00000827029,0.0001553669,0.0000042269,0.0007190703],"genre_scores_gemma":[0.9985754,0.00007238986,0.00007434814,0.000010801,8.064144e-7,0.00001405967,0.0001790378,0.000001904941,0.001071067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05781453,"threshold_uncertainty_score":0.114956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150355617320772,"score_gpt":0.2281204555677311,"score_spread":0.2130848938356539,"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."}}