{"id":"W4230983517","doi":"10.1515/iupac.79.2178","title":"Tumor Necrosis Factor (TNF)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Hazard; Computer science; Library science; Chemistry; Biology; 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":[0.0009268404,0.001344844,0.001532216,0.002660132,0.0005122718,0.002161399,0.00134542,0.001263035,0.06424602],"category_scores_gemma":[0.007285883,0.0004382571,0.001430204,0.005867057,0.0002364596,0.001197612,0.0009707119,0.001482893,0.06101625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122877,"about_ca_system_score_gemma":0.001915046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015188,"about_ca_topic_score_gemma":0.01498011,"domain_scores_codex":[0.9985951,0.0002014134,0.0003575611,0.0004147461,0.0002979824,0.0001332492],"domain_scores_gemma":[0.9975476,0.000737234,0.0006037678,0.0004634708,0.0004899384,0.0001579889],"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":[0.0006602881,0.00004274729,0.006321528,0.004331729,0.0001755429,0.0000710226,0.00003250535,0.0003977407,0.0004085833,0.0005654922,0.9712381,0.01575473],"study_design_scores_gemma":[0.000550093,0.00006916871,0.01492727,0.001477933,0.0002135278,0.0002868273,0.0000633002,0.0002760018,0.0005796556,0.001236857,0.9802744,0.00004493967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002756466,0.0005949732,0.00007365716,0.00007968021,0.00003388848,0.00001726701,0.9978997,0.00009780002,0.0009273899],"genre_scores_gemma":[0.0012089,0.0005631192,0.0003110644,0.0001660092,0.00001764745,0.0001146622,0.9964856,0.00002802483,0.001104937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06424602,"threshold_uncertainty_score":0.2149244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007375385214032555,"score_gpt":0.3158987391902219,"score_spread":0.3085233539761893,"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."}}