{"id":"W2073543822","doi":"10.1080/10807031003788642","title":"Assessment of Littoral Benthic Invertebrate Communities at the Land–Water Interface in Lakes Recovering from Severe Acid- and Metal-Damage","year":2010,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Rural Development Administration","keywords":"Benthic zone; Littoral zone; Species richness; Environmental science; Invertebrate; Ecology; Macrophyte; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001700549,0.0001852409,0.000210796,0.0009209263,0.0008724212,0.0004921308,0.0001513532,0.0001462912,0.0005961799],"category_scores_gemma":[0.0004014862,0.0001818819,0.0001322786,0.0006155062,0.0003835795,0.0002117379,0.0004009224,0.0001247157,0.0001067839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008486701,"about_ca_system_score_gemma":0.0004744528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09374419,"about_ca_topic_score_gemma":0.3072993,"domain_scores_codex":[0.999869,0.00001459392,0.000008222683,0.00002493341,0.00003827838,0.00004493483],"domain_scores_gemma":[0.9997327,0.00001771026,0.00008453379,0.000009112895,0.00007360739,0.00008234075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001153565,0.00002763093,0.9844192,0.00001311633,0.00002034752,0.0000787527,0.000612898,0.00008746373,0.01193484,0.000009191484,0.00002593652,0.002655246],"study_design_scores_gemma":[6.870715e-7,0.000030876,0.9994394,0.00000109528,0.00000259466,0.00001763709,0.0002172993,0.00007365967,0.0001903236,0.00000177297,0.00002379647,7.791453e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998795,0.000009973454,0.00002199233,8.587613e-7,9.949751e-8,0.00000246022,0.00003309866,9.923393e-7,0.00005097779],"genre_scores_gemma":[0.999559,0.00002030696,0.0001412578,0.000003359744,4.676214e-7,0.000004334938,0.0001394944,6.428316e-7,0.0001311399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09374419,"threshold_uncertainty_score":0.1863971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260472484465021,"score_gpt":0.2816504245535233,"score_spread":0.2590456997088731,"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."}}