{"id":"W4240545072","doi":"10.1515/iupac.81.0116","title":"Biogeochemical Cycle","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Environmental science; Computer science; Biology; Data mining; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005317323,0.001480242,0.001043341,0.003049491,0.0004892342,0.002697264,0.001604489,0.001069866,0.04179109],"category_scores_gemma":[0.003552516,0.000548617,0.001084581,0.00803261,0.0003013742,0.001965327,0.001595794,0.001857561,0.05432862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907593,"about_ca_system_score_gemma":0.002192792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0521149,"about_ca_topic_score_gemma":0.06860948,"domain_scores_codex":[0.9994382,0.00007332184,0.00006598378,0.0001815032,0.0001718459,0.00006910985],"domain_scores_gemma":[0.9987317,0.0002586399,0.0001538556,0.0003132255,0.0004259598,0.0001167036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004096928,0.00001702832,0.005064076,0.0009727022,0.00007319274,0.0000290865,0.00003551837,0.001413031,0.0001568023,0.003057214,0.978924,0.01021641],"study_design_scores_gemma":[0.00003822749,0.000003613417,0.003993514,0.0001744314,0.00001230592,0.00002735202,0.00003288659,0.0004489519,0.000103006,0.001776279,0.9933764,0.00001295782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002040174,0.0001800104,0.0001056686,0.000085988,0.0000290812,0.000005961195,0.997215,0.00021793,0.001956301],"genre_scores_gemma":[0.00111192,0.0002810003,0.0003931365,0.00005817374,0.000008231998,0.00003052803,0.9971181,0.00006804313,0.0009308682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0521149,"threshold_uncertainty_score":0.1398051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00701822949148178,"score_gpt":0.3458740678682882,"score_spread":0.3388558383768064,"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."}}