{"id":"W1988573596","doi":"10.1007/s11356-015-4088-4","title":"Lichen communities along a pollution gradient 40 years after decommissioning of a Cu-Ni smelter","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Lichen; Species richness; Smelting; Biota; Pollution; Ecology; Environmental science; Nuclear decommissioning; Species diversity; Geography; Environmental protection; 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":[0.0002104809,0.000266579,0.0005206915,0.0008140591,0.0007357106,0.0007146618,0.0003737561,0.0004597529,0.0009116838],"category_scores_gemma":[0.0002629546,0.000167535,0.0003774801,0.0004639861,0.0005080175,0.0005331445,0.0006409248,0.0003425993,0.0002413902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056621,"about_ca_system_score_gemma":0.0004607379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640109,"about_ca_topic_score_gemma":0.03630294,"domain_scores_codex":[0.9997825,0.0000193676,0.00001064923,0.00007169455,0.00003547673,0.00008037492],"domain_scores_gemma":[0.9996867,0.00002502202,0.00007511602,0.00001912778,0.00007279195,0.0001212541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007447151,0.001614109,0.7124468,0.00004350881,0.000171968,0.001795564,0.002598488,0.0003840187,0.2644631,0.00007936647,0.0002479116,0.00870799],"study_design_scores_gemma":[0.000007224252,0.0005977858,0.9948666,0.000003513313,0.0000281907,0.00007103049,0.0008010885,0.0001836949,0.003253106,0.00001383798,0.0001656733,0.00000828083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998819,0.000007814407,0.000009623139,0.000002581284,7.427357e-7,0.000001463879,0.0000341686,0.0000013576,0.00006045383],"genre_scores_gemma":[0.9990151,0.00001341969,0.0000249613,0.000007337803,0.000001336619,0.000004689051,0.0002182707,0.000001217863,0.0007137759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01640109,"threshold_uncertainty_score":0.03261125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307928239676423,"score_gpt":0.2998071093804944,"score_spread":0.2367278269837302,"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."}}