{"id":"W4250213910","doi":"10.1515/iupac.81.0889","title":"Susceptibility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00119509,0.001539127,0.001123414,0.003228181,0.0009622548,0.002954559,0.00247721,0.001610399,0.126195],"category_scores_gemma":[0.01145721,0.0004730806,0.001421015,0.004513821,0.0003581738,0.002423016,0.002287638,0.001923446,0.1553642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450416,"about_ca_system_score_gemma":0.001963388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01557869,"about_ca_topic_score_gemma":0.02816696,"domain_scores_codex":[0.9980052,0.0003234613,0.0002717144,0.0006980457,0.0004652244,0.000236412],"domain_scores_gemma":[0.9960532,0.0009716855,0.0004239882,0.001085286,0.0011805,0.0002853249],"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":[0.00009609009,0.00002561839,0.00424219,0.0006269995,0.00003417263,0.00003126451,0.00004154625,0.0002081558,0.000107355,0.001167744,0.9848091,0.008609705],"study_design_scores_gemma":[0.00008709956,0.0000202462,0.008219905,0.0004129075,0.00002978024,0.0001374109,0.0001605213,0.000372381,0.0002517035,0.002425831,0.9878499,0.00003226663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004673206,0.000160496,0.0001863969,0.000212158,0.00007154348,0.00002807581,0.9951159,0.0003306569,0.003427588],"genre_scores_gemma":[0.001082708,0.0001092229,0.00037053,0.0001652304,0.0000174424,0.00009512095,0.9955444,0.00006486822,0.002550454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.873805,"threshold_uncertainty_score":0.4221643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472401487122005,"score_gpt":0.3933870314149119,"score_spread":0.3786630165436918,"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."}}