{"id":"W4231615975","doi":"10.1515/iupac.84.1267","title":"White Pulp","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; 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":[0.0007611746,0.001229499,0.001163334,0.003271343,0.0009089208,0.003597469,0.002324134,0.001506476,0.2396649],"category_scores_gemma":[0.005680119,0.0005007082,0.001039439,0.005449265,0.0003560745,0.002447207,0.002263793,0.001316777,0.3031086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122091,"about_ca_system_score_gemma":0.002028527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144568,"about_ca_topic_score_gemma":0.01944871,"domain_scores_codex":[0.9989374,0.0001282754,0.0001456884,0.0003862772,0.0002490668,0.0001532403],"domain_scores_gemma":[0.9978072,0.0004445334,0.0002459499,0.000599264,0.0007122357,0.0001907483],"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":[0.0001068848,0.00001766297,0.0009636929,0.000752373,0.00001865399,0.00002488827,0.00001980682,0.0001142009,0.0001229076,0.0008668833,0.9869139,0.01007827],"study_design_scores_gemma":[0.0000564547,0.00000941234,0.002111005,0.0003004677,0.00001087209,0.00004346087,0.00006076707,0.0001066576,0.0002409077,0.001229384,0.9958176,0.00001298334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001551513,0.0001130779,0.00009823998,0.00009147939,0.00004078667,0.00001797696,0.994718,0.0003915356,0.004373752],"genre_scores_gemma":[0.0005432787,0.0001372994,0.0003065652,0.0001259684,0.00001359658,0.00005223781,0.9948066,0.00009876805,0.0039158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2396649,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007153919270079396,"score_gpt":0.3254617416387872,"score_spread":0.3183078223687077,"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."}}