{"id":"W4233794902","doi":"10.1515/iupac.84.0236","title":"Affinity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; 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":[0.001248421,0.002295284,0.001578352,0.004322467,0.001466632,0.004540166,0.003666975,0.002589177,0.1644578],"category_scores_gemma":[0.0124634,0.0008087754,0.002019359,0.007854652,0.0004248168,0.003924967,0.003228213,0.002328319,0.2461374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089209,"about_ca_system_score_gemma":0.003446849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02617829,"about_ca_topic_score_gemma":0.04999367,"domain_scores_codex":[0.9973321,0.0003819971,0.0004061753,0.0009005371,0.0005783302,0.0004010066],"domain_scores_gemma":[0.9951292,0.001162651,0.0004003602,0.001335596,0.001639879,0.0003322114],"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":[0.0001129561,0.00002197365,0.001774871,0.0009149435,0.0000337005,0.0000238745,0.00003007254,0.0002281992,0.0000886975,0.001027712,0.9889103,0.006832639],"study_design_scores_gemma":[0.0001161392,0.00001793467,0.002917377,0.0003924413,0.00002608733,0.00008372844,0.0000944003,0.0003845276,0.0002092248,0.002247442,0.9934859,0.00002481917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000194852,0.0001802913,0.0001821742,0.0001771901,0.00005386909,0.00003053145,0.9953237,0.0007279807,0.003129367],"genre_scores_gemma":[0.0005362467,0.0001225663,0.0004875366,0.0001606248,0.00001244058,0.00008212376,0.9965334,0.0001282582,0.001936706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1644578,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094986057477109,"score_gpt":0.4288800557153348,"score_spread":0.4079301951405637,"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."}}