{"id":"W1973366151","doi":"10.1016/j.ecoleng.2014.01.003","title":"Distribution patterns of spontaneous vegetation and pollution at a former decantation basin in southern Québec, Canada","year":2014,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Environmental science; Vegetation (pathology); Environmental remediation; Pollution; Plant community; Pollutant; Ecology; Ruderal species; Species richness; Contamination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000164192,0.00004033557,0.00007327366,0.00001337584,0.00007299611,0.000004497263,0.00002435113,0.00004475809,0.00003623133],"category_scores_gemma":[0.0001438876,0.0000396374,0.000008464334,0.00003251427,0.00001998937,0.0000420594,0.00001053529,0.00004188452,0.000001401258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005046826,"about_ca_system_score_gemma":0.00005058938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.582097,"about_ca_topic_score_gemma":0.9871383,"domain_scores_codex":[0.9995567,0.0000323424,0.000113806,0.00006852464,0.00009479886,0.0001338066],"domain_scores_gemma":[0.9998,0.00009722797,0.00003164972,0.0000223055,0.000005532539,0.00004333301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008762698,0.0001543816,0.899289,0.001093584,0.00001486606,0.00004933,0.01932697,0.04759698,0.001979337,0.01649616,0.0001015588,0.01381028],"study_design_scores_gemma":[0.0001199741,0.00002717776,0.9939547,0.00003423196,0.000004977718,0.000001904815,0.00152321,0.002662145,0.00003339575,0.00001589763,0.001567551,0.00005490306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982762,0.00007524277,0.001019923,0.0003662709,0.00005333911,0.00007790328,0.00001054828,0.000009249313,0.0001112789],"genre_scores_gemma":[0.9997072,0.0000776543,0.00003933246,0.00009383564,0.00002528428,0.000007767087,0.00001412484,0.00000229426,0.00003252697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4050413,"threshold_uncertainty_score":0.4206858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006111266799316937,"score_gpt":0.210040908857976,"score_spread":0.203929642058659,"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."}}