{"id":"W4232883844","doi":"10.1515/iupac.79.0912","title":"Bioconcentration","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Chemistry; Biology; 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":[0.001704297,0.002640674,0.002160067,0.004394057,0.0008081926,0.003097161,0.0032111,0.001995905,0.05162653],"category_scores_gemma":[0.008126799,0.0007481128,0.002555337,0.00750245,0.000384191,0.00173963,0.00180527,0.002004046,0.06857421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050602,"about_ca_system_score_gemma":0.003324175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134147,"about_ca_topic_score_gemma":0.03470561,"domain_scores_codex":[0.9975979,0.0003458804,0.0004250014,0.0008458044,0.0006090418,0.0001764161],"domain_scores_gemma":[0.9968786,0.0008358159,0.0004585142,0.0007305065,0.0009470182,0.0001496248],"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":[0.0003329387,0.00006449838,0.004441063,0.005708436,0.0002804663,0.0000550994,0.00003792633,0.001053425,0.0006692366,0.001115588,0.9704875,0.01575373],"study_design_scores_gemma":[0.0003267225,0.00003944374,0.006899725,0.0007558998,0.0001827801,0.0001012288,0.00004196607,0.0005736445,0.001012988,0.001600971,0.9884198,0.00004492582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001745318,0.00033955,0.0001410713,0.00004547936,0.00002445576,0.00001907203,0.9982382,0.0002705869,0.0007470189],"genre_scores_gemma":[0.0004542668,0.0002417268,0.0004988336,0.00007562259,0.000006988909,0.00008859872,0.9979872,0.00004997266,0.0005969019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05162653,"threshold_uncertainty_score":0.172708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222131983660829,"score_gpt":0.392550719458284,"score_spread":0.3803293996216757,"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."}}