{"id":"W4254799191","doi":"10.1515/iupac.79.1255","title":"Exchange Transfusion","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fibroblast Growth Factor Research","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; Computer science; Hazard; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001547692,0.001497206,0.001743047,0.003074311,0.0008973941,0.005119873,0.002327373,0.001549665,0.4818025],"category_scores_gemma":[0.01399076,0.0005636461,0.001433042,0.005619117,0.0003490384,0.003137895,0.00279927,0.001635277,0.5387008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264971,"about_ca_system_score_gemma":0.002759573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006497764,"about_ca_topic_score_gemma":0.009990316,"domain_scores_codex":[0.9981549,0.0003405662,0.0003014008,0.0006288952,0.0003816349,0.0001925741],"domain_scores_gemma":[0.9954544,0.001115991,0.0003185891,0.001681087,0.001028964,0.0004009072],"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":[0.00007475239,0.000008170153,0.0002985801,0.0003754872,0.00001823688,0.00001123744,0.00001108578,0.00006124138,0.0000371344,0.0005367978,0.9905408,0.00802641],"study_design_scores_gemma":[0.00008269764,0.000007036697,0.000625614,0.0001901323,0.00001157388,0.00002692854,0.00002662438,0.00009782823,0.0000774489,0.001366768,0.9974785,0.000008855108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000106515,0.0001957086,0.0002377876,0.0002649383,0.0001679788,0.0000487326,0.9889009,0.001482302,0.008595173],"genre_scores_gemma":[0.0006480701,0.0002400673,0.0005862041,0.0003743973,0.00005920954,0.0001393081,0.9895452,0.0004347183,0.007972896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4818025,"threshold_uncertainty_score":0.7391458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395719085763558,"score_gpt":0.3934141470904353,"score_spread":0.3794569562327997,"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."}}