{"id":"W4253701306","doi":"10.1515/iupac.78.0180","title":"Biomass","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Chemical nomenclature; Computer science; Management science; Environmental chemistry; Ecology; Chemistry; Engineering; Biology; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004815657,0.0003278724,0.0004107484,0.00002400857,0.0001771476,0.00007343815,0.0005080029,0.0004204631,0.01098305],"category_scores_gemma":[0.0001786911,0.0000985395,0.0001694645,0.0001663462,0.0001364318,0.00006999193,0.0002140212,0.0002200371,0.000006924118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687832,"about_ca_system_score_gemma":0.000193115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003078868,"about_ca_topic_score_gemma":0.003830051,"domain_scores_codex":[0.9980949,0.00007685358,0.0003819554,0.0005209898,0.0004746604,0.0004506021],"domain_scores_gemma":[0.9990817,0.0001339679,0.0001531447,0.0001646447,0.0002939918,0.0001726048],"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":[0.00004065904,0.0001134628,0.00004491896,0.00003721199,0.00003032563,0.00001990781,0.000002382643,6.211314e-9,0.00005900529,0.000007642009,0.9453165,0.05432799],"study_design_scores_gemma":[0.0001457113,0.0001778965,0.0009115654,0.00006013498,0.00001739685,0.000005648175,0.0000447224,1.070929e-7,0.00004170657,0.0003653255,0.9978646,0.0003651649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002693217,0.0002745267,0.000001535567,0.006036527,0.0004154949,0.000260905,0.9902157,0.00006098776,0.00004105875],"genre_scores_gemma":[0.0001028193,0.0002471923,0.000009370091,0.0005848045,0.0007668391,0.00001862253,0.9977464,0.00000103427,0.0005229356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05396283,"threshold_uncertainty_score":0.989921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129451832319701,"score_gpt":0.3346561354186304,"score_spread":0.3217109521866603,"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."}}