{"id":"W3190844108","doi":"10.1007/s42452-021-04732-z","title":"Semiarid bunchgrasses accumulate molybdenum on alkaline copper mine tailings: assessing phytostabilization in the greenhouse","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada; Thompson Rivers University","keywords":"Tailings; Compost; Biomass (ecology); Agronomy; Tussock; Revegetation; Shoot; Environmental science; Randomized block design; Bioconcentration; Biology; Chemistry; Environmental chemistry; Land reclamation; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009594858,0.0001450496,0.0001629216,0.00005509014,0.0003505174,0.0001785496,0.0004031417,0.00007127197,0.0004684581],"category_scores_gemma":[0.00008909351,0.00009517853,0.00003436808,0.001001128,0.0003743863,0.0002045314,0.0001329079,0.0001518366,0.0001187363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006377201,"about_ca_system_score_gemma":0.00004585741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330021,"about_ca_topic_score_gemma":0.001979009,"domain_scores_codex":[0.9983659,0.00009538826,0.0002284587,0.0004933977,0.0004508269,0.0003660655],"domain_scores_gemma":[0.999376,0.0002346411,0.00008733408,0.0002437656,0.000009353518,0.00004891317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003519536,0.0005713364,0.5465103,0.00001710636,0.000009328045,0.00008433186,0.001912035,0.05318507,0.3822033,0.001854523,0.006044223,0.00757324],"study_design_scores_gemma":[0.00280213,0.0004827985,0.8346802,0.00009836888,0.00005464066,0.00009178896,0.007475852,0.02079906,0.09184196,0.008577798,0.03171619,0.001379223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710775,0.00002639549,0.0001915044,0.001218453,0.000100018,0.0001599553,0.00000253021,0.00002849138,0.02719516],"genre_scores_gemma":[0.9975681,0.00002248434,0.0004147431,0.001711648,0.00006016805,0.00002608327,0.00001884155,0.000007294982,0.0001706242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2903613,"threshold_uncertainty_score":0.5129288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556363237204038,"score_gpt":0.2832831351157153,"score_spread":0.2577195027436749,"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."}}