{"id":"W4231322253","doi":"10.1515/iupac.79.1482","title":"Inflammation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002565473,0.0003184355,0.0002688953,0.00009509396,0.0000817948,0.00003274651,0.0003377129,0.0004902154,0.000724334],"category_scores_gemma":[0.00031063,0.0002574505,0.0001686228,0.00006413225,0.00009447243,0.000004430765,0.0001762071,0.0001756005,0.00000553491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005430042,"about_ca_system_score_gemma":0.0004601352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001942456,"about_ca_topic_score_gemma":0.0002890995,"domain_scores_codex":[0.9985039,0.00005690427,0.0003444843,0.0003917476,0.0003887022,0.0003142118],"domain_scores_gemma":[0.9986321,0.000007351921,0.0001983917,0.0007669775,0.0003310689,0.00006409345],"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":[0.0001496934,0.0000340631,0.000005794836,0.00005002651,0.00009932579,0.000005458132,0.000003006482,0.000001455372,0.006501496,0.000002513973,0.9849464,0.008200815],"study_design_scores_gemma":[0.0007626359,0.0002455527,0.00001857274,0.0000823689,0.00004414919,0.000006327586,0.00001364727,4.991256e-7,0.006613466,0.00003549612,0.9918118,0.0003654448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001789279,0.001097979,0.0001347879,0.0002817301,0.0004853144,0.0002033942,0.99586,0.00001504569,0.0001324231],"genre_scores_gemma":[0.00006143998,0.002512504,0.00001441398,0.0001746634,0.001350018,0.00001802698,0.9946134,0.00003339638,0.001222125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00783537,"threshold_uncertainty_score":0.9999878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006118666016408353,"score_gpt":0.3462584793087577,"score_spread":0.3401398132923494,"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."}}