{"id":"W4255184857","doi":"10.1515/iupac.78.0171","title":"Bioconcentration","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Bioconcentration; Relation (database); Pesticide; Computer science; Environmental chemistry; Ecology; Chemistry; Biology; Data mining","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":[0.001462822,0.002066249,0.001806537,0.005424944,0.0008417387,0.002769164,0.003008528,0.001778848,0.08519382],"category_scores_gemma":[0.008328372,0.0006931337,0.001773839,0.01020155,0.0004070347,0.002067984,0.001938407,0.001968824,0.07680107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421756,"about_ca_system_score_gemma":0.00340182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02676239,"about_ca_topic_score_gemma":0.04137556,"domain_scores_codex":[0.9981391,0.0002642401,0.0003819618,0.0005755643,0.0005056626,0.0001334489],"domain_scores_gemma":[0.9962126,0.001171374,0.0005965939,0.0006874977,0.001165097,0.0001668386],"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":[0.0001196973,0.00002581586,0.001854715,0.004197881,0.00008437195,0.00004269992,0.00004108331,0.0004116106,0.000359937,0.001283112,0.9828587,0.008720185],"study_design_scores_gemma":[0.0000952417,0.00001228661,0.003143435,0.0007800845,0.00004568531,0.00005412877,0.00003249664,0.0001401969,0.0003216217,0.001143795,0.9942077,0.00002326636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006597921,0.0001896245,0.00008184211,0.00004443546,0.00001370497,0.0000110234,0.9987879,0.0001214663,0.0006839657],"genre_scores_gemma":[0.0003428896,0.0002740108,0.0004394744,0.00009715441,0.000005582911,0.00009748546,0.9979919,0.00005323272,0.0006982315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08519382,"threshold_uncertainty_score":0.2850017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485016778532723,"score_gpt":0.3534969481932011,"score_spread":0.3386467804078739,"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."}}