{"id":"W4247557640","doi":"10.1515/iupac.76.0135","title":"Bioaccumulation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Bioaccumulation; Toxicology; Environmental chemistry; Medicine; Chemistry; Pharmacology; Biology; Philosophy","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":[0.001163421,0.00244827,0.001787502,0.004795137,0.0009591965,0.003262865,0.002712045,0.001920916,0.06025946],"category_scores_gemma":[0.00703231,0.0008195646,0.00223671,0.007638034,0.0003974252,0.002241913,0.002351581,0.001911425,0.07980812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718339,"about_ca_system_score_gemma":0.002797062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175925,"about_ca_topic_score_gemma":0.03075461,"domain_scores_codex":[0.9982811,0.0002054243,0.0003047512,0.000645173,0.0004181151,0.0001454986],"domain_scores_gemma":[0.9971803,0.0008141794,0.0004537576,0.0006936426,0.0006684878,0.0001895212],"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":[0.0001775942,0.0000404346,0.003363128,0.004911388,0.0001367517,0.00005334452,0.00006602357,0.0007421701,0.0008245953,0.001404871,0.9760352,0.01224445],"study_design_scores_gemma":[0.0001113068,0.00002307421,0.00501204,0.000761469,0.0000775612,0.00008593499,0.00005479902,0.0003586483,0.0006043919,0.001412241,0.9914613,0.00003714644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001475767,0.0002825417,0.0001165364,0.00003976117,0.00001940373,0.00001188723,0.998283,0.0002947154,0.0008045369],"genre_scores_gemma":[0.0003562135,0.0002329627,0.000418977,0.00006587628,0.000004620035,0.00007030527,0.9981862,0.00008220875,0.0005827097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06025946,"threshold_uncertainty_score":0.201588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385640638333127,"score_gpt":0.3687976697027819,"score_spread":0.3549412633194506,"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."}}