{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003040177,0.0002692683,0.0002934359,0.00006589486,0.00006895894,0.00002288972,0.0004513172,0.0003397353,0.04458401],"category_scores_gemma":[0.0002547198,0.0001870399,0.0001197842,0.0001466405,0.0002390024,0.00008143703,0.0003616323,0.0002569895,0.00004382626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804663,"about_ca_system_score_gemma":0.00005940083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002619202,"about_ca_topic_score_gemma":0.000273801,"domain_scores_codex":[0.998062,0.00003903953,0.0002984279,0.0004241448,0.0008624952,0.0003139217],"domain_scores_gemma":[0.9990357,0.00004136691,0.0001575493,0.0005872173,0.00003100281,0.0001471826],"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":[0.00001462639,0.00009476556,0.00001651613,0.00001540823,0.00001039582,0.00002543095,0.000004385353,2.144797e-7,0.0005681879,0.000001453707,0.9961852,0.003063372],"study_design_scores_gemma":[0.0002100516,0.00006543804,0.000005986991,0.00005850752,0.00002509142,0.000006988829,0.00000339385,0.000002756705,0.00220576,0.001320107,0.9958152,0.0002807235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002242701,0.0000778827,0.0001334241,0.0005703011,0.0001801495,0.0001820191,0.9979571,0.0001018465,0.0005730348],"genre_scores_gemma":[0.00006105453,0.0004632322,0.000138229,0.0004322473,0.0004452208,0.00001466152,0.9980948,0.00001958108,0.000330969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04454019,"threshold_uncertainty_score":0.9562894,"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."}}