{"id":"W4229783867","doi":"10.1515/iupac.84.0248","title":"Allogeneic","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; Immunology; Medicine; 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":[0.001603439,0.001407327,0.001196605,0.002921701,0.0009755414,0.003488136,0.002466395,0.002014892,0.2275102],"category_scores_gemma":[0.01484508,0.0005641338,0.001660931,0.005817595,0.0003708404,0.002456102,0.002251653,0.001828439,0.239377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836998,"about_ca_system_score_gemma":0.003420845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835582,"about_ca_topic_score_gemma":0.02736339,"domain_scores_codex":[0.9971936,0.0004469405,0.0004745137,0.0009336896,0.0005969556,0.0003542533],"domain_scores_gemma":[0.9940636,0.001282081,0.000602909,0.001474319,0.002181106,0.0003959992],"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":[0.0001176924,0.00001698993,0.001463327,0.0006532772,0.00002898459,0.0000158907,0.00001580748,0.0001085441,0.000057221,0.0007898994,0.9905062,0.00622606],"study_design_scores_gemma":[0.0001788397,0.00002120141,0.003708306,0.0006574082,0.00002843758,0.00007499218,0.00007927637,0.0001796375,0.0001818053,0.001656503,0.9932095,0.00002401271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001394158,0.00009755338,0.000103425,0.0001625918,0.00005630948,0.00003088158,0.9966207,0.0002107097,0.002578385],"genre_scores_gemma":[0.0005445057,0.0001049495,0.0003070503,0.0002460155,0.00002115675,0.0001293945,0.9958887,0.00007603724,0.002682286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2275102,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809512787144273,"score_gpt":0.4236542723120558,"score_spread":0.405559144440613,"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."}}