{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003982722,0.0004164324,0.0003686262,0.0001573936,0.000092617,0.00003766812,0.0005765185,0.0006952187,0.002470965],"category_scores_gemma":[0.0002969273,0.000322049,0.0002150537,0.0001122856,0.0001678639,0.00000357731,0.0003202389,0.0003592398,0.000005604655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169953,"about_ca_system_score_gemma":0.0005917385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006652029,"about_ca_topic_score_gemma":0.001386215,"domain_scores_codex":[0.9973766,0.0001279564,0.0003094802,0.0007090035,0.0009241214,0.0005528681],"domain_scores_gemma":[0.9982759,0.00002095303,0.0001034751,0.001021633,0.000361689,0.0002162891],"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":[0.0003788204,0.0001110332,0.000009828377,0.0002178614,0.00008118914,0.00002479685,0.00000329156,1.839311e-7,0.01863601,5.206329e-7,0.9770786,0.003457865],"study_design_scores_gemma":[0.0009375276,0.0007227187,0.0000358654,0.0001920768,0.00002947873,0.00001671967,0.000004872096,3.418e-7,0.006633118,0.00001146892,0.9910159,0.0003999718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001748027,0.001328734,0.0002301654,0.0003164005,0.0003912096,0.0003695418,0.9955413,0.00002027299,0.00005432267],"genre_scores_gemma":[0.00007476052,0.005528413,0.00002441949,0.000139185,0.001520812,0.00002673883,0.9914868,0.0000640957,0.001134742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01393724,"threshold_uncertainty_score":0.9999232,"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."}}