{"id":"W4239817749","doi":"10.1515/iupac.88.0407","title":"Adhesion Factor","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.000303824,0.0005874875,0.001130951,0.00026571,0.0003249809,0.0001170484,0.0004078815,0.0006460198,0.005379301],"category_scores_gemma":[0.00101389,0.0004911149,0.0004281686,0.0001057623,0.0001918697,0.0001344007,0.0001733282,0.0006193385,0.00002098241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423977,"about_ca_system_score_gemma":0.001392746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004127571,"about_ca_topic_score_gemma":0.0006543216,"domain_scores_codex":[0.9967719,0.00004542376,0.0006020917,0.0006629448,0.001401617,0.000516041],"domain_scores_gemma":[0.9967611,0.00008843409,0.0005138058,0.001672048,0.0005656554,0.0003989901],"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":[0.000362486,0.00029079,0.0005438699,0.0003601034,0.0001586352,0.0001989987,0.00002682705,2.394654e-7,0.00002376567,0.000003643993,0.9895858,0.008444877],"study_design_scores_gemma":[0.001992782,0.0005052703,0.007652735,0.001103609,0.0004253247,0.00006602804,0.00001671721,0.00001449871,0.0001203819,0.00005961402,0.9875644,0.0004786747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001741866,0.003603126,0.00001931821,0.0008877279,0.001377823,0.0005257502,0.9916213,0.0001241867,0.00009887679],"genre_scores_gemma":[0.0006780852,0.001687523,0.00008295014,0.0004712465,0.002511325,0.00001096538,0.9910551,0.00007135591,0.003431477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007966203,"threshold_uncertainty_score":0.9997541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177238327651868,"score_gpt":0.4436324610368365,"score_spread":0.4118600777603179,"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."}}