{"id":"W4252415806","doi":"10.1515/iupac.84.0241","title":"Allele","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":[0.00130608,0.001482049,0.001171939,0.002629507,0.0009534296,0.003313527,0.002399746,0.001959016,0.2682992],"category_scores_gemma":[0.01176294,0.0005749059,0.001480806,0.00504927,0.0003169898,0.002495518,0.002190495,0.001650762,0.2709424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504152,"about_ca_system_score_gemma":0.002659362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01874154,"about_ca_topic_score_gemma":0.02750158,"domain_scores_codex":[0.9979792,0.0003062805,0.0003283755,0.0007238629,0.0004045109,0.0002578248],"domain_scores_gemma":[0.9952897,0.001095178,0.0005068875,0.001207445,0.001573808,0.0003269556],"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":[0.0001409106,0.00001785123,0.001950543,0.0006246218,0.00003083583,0.00001889025,0.00001901228,0.0001013088,0.00005900303,0.0007951414,0.9895729,0.006668875],"study_design_scores_gemma":[0.0001761308,0.00001938156,0.004425993,0.0004898778,0.00003026083,0.00007619283,0.00008179936,0.0001638578,0.0001689511,0.001790881,0.9925534,0.00002334374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001326184,0.00006680288,0.0001012481,0.0001154291,0.00003713477,0.00002323369,0.9969867,0.0002452183,0.002291625],"genre_scores_gemma":[0.0005553446,0.00008962298,0.0003304057,0.0002295994,0.00001826542,0.0001207041,0.995747,0.000104638,0.002804414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7317008,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671137891397105,"score_gpt":0.4249509372254658,"score_spread":0.4082395583114947,"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."}}