{"id":"W4234929785","doi":"10.1515/iupac.81.0748","title":"Rate-Of-Living Theory of Aging","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; 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":[0.002108103,0.001206966,0.0009826669,0.003714908,0.000595196,0.002297594,0.002938546,0.001292077,0.03473569],"category_scores_gemma":[0.0126911,0.0004806503,0.001715443,0.005223968,0.0003173175,0.002024566,0.001098793,0.001693449,0.04103067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763843,"about_ca_system_score_gemma":0.001236488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312752,"about_ca_topic_score_gemma":0.03252636,"domain_scores_codex":[0.9990442,0.0002281961,0.0001667731,0.000310564,0.0001677713,0.00008239398],"domain_scores_gemma":[0.996762,0.001337602,0.0004854784,0.0007332079,0.0005690202,0.0001126191],"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":[0.0001045472,0.00003884986,0.01229248,0.001243188,0.0001088962,0.00004335959,0.00006647909,0.005368133,0.00007622759,0.009625523,0.9438472,0.02718497],"study_design_scores_gemma":[0.0001863649,0.00004153607,0.02536108,0.0005572694,0.0001039572,0.0002957969,0.0001144646,0.01599053,0.0002670667,0.04485027,0.912166,0.00006559415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001018928,0.0008906908,0.00300085,0.0003996585,0.00008611741,0.00004132558,0.9908842,0.0005998681,0.003078294],"genre_scores_gemma":[0.007697904,0.001275258,0.004302228,0.0002552236,0.00005138393,0.0003300973,0.9820372,0.0001482645,0.003902398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03473569,"threshold_uncertainty_score":0.1162024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017029413428451,"score_gpt":0.4089699366001835,"score_spread":0.3987996424658991,"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."}}