{"id":"W2799942794","doi":"10.14288/1.0365769","title":"Mount Polley mine tailings : uptake and distribution of metals in lodgepole pine and bluebunch wheatgrass under controlled environments","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tailings; Mount; Mining engineering; Distribution (mathematics); Forestry; Geology; Environmental science; Archaeology; Geography; Engineering; Metallurgy; Mathematics; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491876,0.0003242488,0.0003139761,0.0003253006,0.0006070177,0.000495531,0.0003477329,0.0003791258,0.0004138868],"category_scores_gemma":[0.0002086112,0.000256066,0.0002121512,0.0002375148,0.0003564662,0.0002556944,0.0003456064,0.0005081437,0.000103131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007887584,"about_ca_system_score_gemma":0.0003637652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06105303,"about_ca_topic_score_gemma":0.1075302,"domain_scores_codex":[0.9998197,0.00001745893,0.000008217199,0.00007955869,0.00004136908,0.00003369023],"domain_scores_gemma":[0.9997298,0.00004633629,0.00005862844,0.00001529265,0.00008182247,0.00006801491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001043014,0.0002087053,0.03122622,0.00006042848,0.00003050613,0.0001973393,0.000546405,0.0001439515,0.9642402,0.00002554987,0.00008283227,0.002194872],"study_design_scores_gemma":[0.00007609132,0.004367716,0.7326655,0.00001406067,0.00008987906,0.0002570415,0.001582114,0.001985835,0.2570651,0.00006370766,0.001796422,0.00003663038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995647,0.00003696696,0.00005751468,0.00000858656,0.000002196035,0.00000978529,0.0001690065,0.00000649437,0.0001448119],"genre_scores_gemma":[0.9970134,0.0001075009,0.0005039221,0.00006898684,0.000004037557,0.00002907781,0.0005810964,0.00001067142,0.001681264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.938947,"threshold_uncertainty_score":0.1213953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006676891452203219,"score_gpt":0.1716760422999824,"score_spread":0.1649991508477792,"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."}}