{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007821956,0.001054435,0.001284137,0.002957141,0.0003141015,0.001144838,0.0008496621,0.001402127,0.003949914],"category_scores_gemma":[0.001171398,0.0003759699,0.0007274467,0.003124544,0.0004324923,0.0015757,0.0006592888,0.001309149,0.001522601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067086,"about_ca_system_score_gemma":0.001618686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324712,"about_ca_topic_score_gemma":0.002025453,"domain_scores_codex":[0.9997688,0.00003552649,0.00004599569,0.00004900275,0.00007979201,0.00002098771],"domain_scores_gemma":[0.9993216,0.0003824355,0.00009383906,0.00001552106,0.0001420519,0.00004457468],"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":[0.00005114184,0.00007844401,0.0002461147,0.03918738,0.000148561,0.0001843623,0.00008418101,0.0005135633,0.002223982,0.003082071,0.01859439,0.9356057],"study_design_scores_gemma":[0.00001258785,0.00009312685,0.0008233282,0.00824718,0.0002191229,0.0009401547,0.00008272445,0.0001311629,0.0007267678,0.001405368,0.9872923,0.00002614819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009776023,0.9987092,0.0001886282,0.0001807789,0.0001214551,0.000005566968,0.00002110829,0.000006618647,0.0006689083],"genre_scores_gemma":[0.0004350311,0.9988361,0.000282484,0.0001017896,0.0000563305,0.00000503759,0.00003028622,0.000001314836,0.0002516724],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003949914,"threshold_uncertainty_score":0.01321375,"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."}}