{"id":"W4241027427","doi":"10.1515/iupac.81.0128","title":"Biomass","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Environmental science; Computer science; 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":[0.0009427287,0.001842212,0.001236707,0.003503525,0.0009981889,0.00316445,0.002896723,0.001713909,0.1402709],"category_scores_gemma":[0.00651174,0.0005934267,0.001393527,0.006204081,0.0003710356,0.002439624,0.002396711,0.00199669,0.2398721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674633,"about_ca_system_score_gemma":0.002192629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208176,"about_ca_topic_score_gemma":0.042353,"domain_scores_codex":[0.9985704,0.0002156031,0.0001684632,0.0005083341,0.0003466914,0.0001905037],"domain_scores_gemma":[0.9977255,0.0004343711,0.0002067767,0.0006084011,0.0007976746,0.0002270798],"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":[0.00005946822,0.00001778819,0.001359206,0.0005224494,0.00002137624,0.00001760889,0.00002346456,0.0002251843,0.00009846951,0.0009578679,0.9909421,0.005754984],"study_design_scores_gemma":[0.00006812171,0.000008878914,0.002343812,0.0002722492,0.0000130058,0.00004361778,0.0000747901,0.0002654368,0.0001784585,0.001610624,0.9951054,0.00001571946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001603127,0.0001079538,0.0001178385,0.000106804,0.00004008448,0.00001396267,0.9970801,0.0003988082,0.001974107],"genre_scores_gemma":[0.0003144729,0.0000729965,0.0002761915,0.00006951877,0.000006102516,0.00003838401,0.9979802,0.0000697405,0.001172393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1402709,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010286075932579,"score_gpt":0.3552601770158519,"score_spread":0.3449741010832729,"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."}}