{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008581026,0.001767223,0.001272482,0.005689613,0.000849886,0.002865768,0.002582179,0.001531769,0.1368802],"category_scores_gemma":[0.006444737,0.0005835206,0.001196617,0.01074997,0.000380626,0.002450019,0.002001832,0.00171698,0.1684201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918111,"about_ca_system_score_gemma":0.002633062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0255102,"about_ca_topic_score_gemma":0.04671977,"domain_scores_codex":[0.9987454,0.0001739592,0.0002117498,0.0004313934,0.0003017966,0.0001355564],"domain_scores_gemma":[0.997609,0.0006454645,0.0003207178,0.0004891007,0.0007480319,0.000187599],"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":[0.00003924072,0.0000114746,0.0008570291,0.0009179199,0.0000213135,0.00001874813,0.0000287443,0.0002098973,0.0001052405,0.001110074,0.9925627,0.00411769],"study_design_scores_gemma":[0.00004167754,0.000005214168,0.001687138,0.0003576614,0.00001239079,0.00003224407,0.00005046928,0.0001182577,0.0001049816,0.001161457,0.9964151,0.00001326878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005417692,0.00008096122,0.00005784735,0.00004847679,0.00001317969,0.000006484248,0.9986277,0.0001488378,0.0009623702],"genre_scores_gemma":[0.0001992053,0.0001001099,0.0002022158,0.00005323259,0.00000405917,0.00004155698,0.9985989,0.00005512861,0.0007456489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1368802,"threshold_uncertainty_score":0,"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."}}