{"id":"W4250187001","doi":"10.1515/iupac.84.1105","title":"Red 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":[0.0008763282,0.001336696,0.001173612,0.003474917,0.0009218582,0.003779995,0.00245003,0.001606858,0.2704996],"category_scores_gemma":[0.006291035,0.0005532243,0.001129678,0.005901821,0.0003739972,0.002577419,0.002335278,0.001487448,0.3503992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494809,"about_ca_system_score_gemma":0.002254011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334966,"about_ca_topic_score_gemma":0.02259956,"domain_scores_codex":[0.9988021,0.0001667823,0.0001592353,0.0004292347,0.0002727697,0.0001698903],"domain_scores_gemma":[0.9976191,0.0005168251,0.0002456185,0.0006217483,0.0007751794,0.0002215392],"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":[0.00007808612,0.0000141656,0.0007146991,0.0007227508,0.0000165039,0.00001627766,0.00001839604,0.0001157426,0.00009267024,0.0008008281,0.9905876,0.00682226],"study_design_scores_gemma":[0.00005579313,0.000008423792,0.001522881,0.0002606771,0.000009359524,0.00002912797,0.00005211364,0.0001046285,0.0001810643,0.001099326,0.9966646,0.00001196875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009291562,0.00008478373,0.00008074728,0.000088154,0.00003303043,0.00001370886,0.9960439,0.0004123747,0.003150392],"genre_scores_gemma":[0.000356663,0.0001091316,0.0002734723,0.0001201261,0.00001103263,0.00004503208,0.9961244,0.0001135784,0.002846583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2704996,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007974836595071942,"score_gpt":0.3307399765099163,"score_spread":0.3227651399148443,"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."}}