{"id":"W4248476504","doi":"10.1515/iupac.84.0322","title":"Autologous","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001560308,0.001435386,0.001210886,0.003003231,0.001021958,0.003738596,0.002517599,0.002039093,0.2451051],"category_scores_gemma":[0.01479094,0.0005785531,0.001616981,0.006000976,0.0003699763,0.002626438,0.002408038,0.001809575,0.268877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826817,"about_ca_system_score_gemma":0.003444694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01830275,"about_ca_topic_score_gemma":0.02758821,"domain_scores_codex":[0.9972377,0.0004411861,0.0004713238,0.000907741,0.0005854431,0.0003565036],"domain_scores_gemma":[0.9939907,0.001284671,0.0005811597,0.00152625,0.002205221,0.0004119512],"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":[0.0001204135,0.0000176174,0.001449884,0.0006574501,0.00002812189,0.00001584409,0.00001736862,0.0001056973,0.00005604296,0.0008339829,0.9899681,0.006729474],"study_design_scores_gemma":[0.0001578436,0.00001988061,0.003341467,0.0006047846,0.00002512134,0.00007018575,0.0000794734,0.0001696757,0.000170736,0.00162825,0.9937105,0.00002196788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001442483,0.00009890495,0.000109189,0.0001615415,0.00005554789,0.00003136699,0.9961284,0.0002557512,0.003014887],"genre_scores_gemma":[0.0005598381,0.0001070128,0.0003095639,0.0002415848,0.00002054633,0.000122593,0.9955973,0.00008930409,0.002952315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7548949,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640808470166154,"score_gpt":0.4192255045600958,"score_spread":0.4028174198584343,"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."}}