{"id":"W4233091333","doi":"10.1515/iupac.81.0427","title":"Growth","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Linguistics; 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":[0.001344171,0.001916994,0.001291405,0.004296115,0.001366329,0.00411736,0.003228328,0.001924433,0.1739258],"category_scores_gemma":[0.01167756,0.0006369799,0.001731056,0.008590857,0.0004720112,0.003423584,0.003221516,0.002465239,0.2431449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00218329,"about_ca_system_score_gemma":0.003236508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0346404,"about_ca_topic_score_gemma":0.06055604,"domain_scores_codex":[0.9975473,0.0003720286,0.0003057319,0.0008090191,0.0006022844,0.0003635555],"domain_scores_gemma":[0.9952266,0.001116521,0.0003842603,0.001169152,0.001725275,0.0003781799],"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":[0.00004264515,0.0000119456,0.001255737,0.0003883324,0.00001464837,0.00001347475,0.00002765612,0.0001279578,0.00005244403,0.001210873,0.9929093,0.003944942],"study_design_scores_gemma":[0.00005159429,0.000007989719,0.002299621,0.0002995387,0.00001171018,0.0000439035,0.0001111347,0.000197541,0.0001122215,0.001394928,0.9954531,0.00001661301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001251106,0.00007870604,0.00008207136,0.00013952,0.00004702968,0.00001264032,0.9971397,0.0002477263,0.002127633],"genre_scores_gemma":[0.0003222229,0.00007901452,0.0003015085,0.00009124609,0.00001027381,0.00005692956,0.9974495,0.00007887403,0.001610445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1739258,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475315899033324,"score_gpt":0.4096893083232127,"score_spread":0.3949361493328795,"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."}}