{"id":"W2225561481","doi":"10.1111/rec.12322","title":"Genomics to assist mine reclamation: a review","year":2016,"lang":"en","type":"review","venue":"Restoration Ecology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Genome British Columbia; Genome Canada","keywords":"Land reclamation; Genomics; Ecosystem services; Ecosystem; Environmental DNA; Environmental resource management; Environmental planning; Business; Environmental science; Ecology; Biodiversity; Biology; Genome; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000396376,0.0002520475,0.0009316058,0.0001846163,0.00005564236,0.00002461235,0.0001623808,0.0002846902,0.0005924622],"category_scores_gemma":[0.0001942703,0.0001921205,0.0001849474,0.0002208056,0.00001123084,0.00009320191,0.00002514423,0.0002244281,0.003366282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020661,"about_ca_system_score_gemma":0.0001056579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.959551e-7,"about_ca_topic_score_gemma":0.00004675732,"domain_scores_codex":[0.9986537,0.0001786415,0.0006694186,0.0002248361,0.00008924692,0.0001842265],"domain_scores_gemma":[0.9992514,0.0001173607,0.0001775578,0.0003017326,0.00004614181,0.0001057725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.170798e-7,0.000006253559,2.086893e-7,0.01215782,0.00004092994,0.000002756872,0.00000374459,0.00001191456,0.000006027172,0.0004196794,0.03050832,0.9568418],"study_design_scores_gemma":[0.00003673149,0.00002226588,0.00000483303,0.008264834,0.0001124856,0.00004345414,5.678351e-7,0.00001902906,7.424903e-7,0.000007981696,0.9912679,0.0002192095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001211395,0.9907869,0.001631095,0.0003213274,0.001470713,0.0007314568,0.0000231229,0.0001707378,0.004863475],"genre_scores_gemma":[0.000001807432,0.9965262,0.0005929081,0.000317515,0.0004509249,0.0002019422,0.0001589286,0.00004517538,0.001704599],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9607595,"threshold_uncertainty_score":0.9974097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05429508504482635,"score_gpt":0.3320161270134001,"score_spread":0.2777210419685738,"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."}}