{"id":"W4254984560","doi":"10.1515/iupac.81.0686","title":"Phytochelatin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Ecology; Risk assessment; 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":[0.0006354777,0.001570515,0.001546678,0.003452252,0.0008381911,0.002475335,0.00205839,0.001818634,0.0478683],"category_scores_gemma":[0.003551496,0.0006038645,0.001449503,0.005946622,0.0003411379,0.001474604,0.001649228,0.002100521,0.05920098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738837,"about_ca_system_score_gemma":0.002581319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187567,"about_ca_topic_score_gemma":0.03904731,"domain_scores_codex":[0.9991137,0.0001097468,0.0001356931,0.0002978032,0.0002227217,0.0001202681],"domain_scores_gemma":[0.9986836,0.0003355825,0.0002565725,0.0003079144,0.000292269,0.0001239971],"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":[0.000329214,0.00004806162,0.005155881,0.003544323,0.000109613,0.00009361191,0.00004658208,0.0005737029,0.000764959,0.00118427,0.9778967,0.01025313],"study_design_scores_gemma":[0.0001881269,0.00002832239,0.008165204,0.0004877934,0.00007807954,0.0002252222,0.00005168332,0.0002646914,0.0007078971,0.001238553,0.9885394,0.00002500587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003355877,0.0004176101,0.00007419827,0.00009591344,0.00002280792,0.00001126199,0.9977236,0.0001567192,0.001162226],"genre_scores_gemma":[0.000589235,0.0002603412,0.0002268063,0.00008327109,0.000004407179,0.00003519043,0.9980562,0.00002591004,0.0007186472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0478683,"threshold_uncertainty_score":0.1601353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213628775244518,"score_gpt":0.4707956469721454,"score_spread":0.4494327694476936,"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."}}