{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00113473,0.0008645186,0.001096651,0.0004844921,0.0001480493,0.000103995,0.001175813,0.0007102231,0.03062334],"category_scores_gemma":[0.001313514,0.000645381,0.0003342099,0.0003577333,0.0003031947,0.0001638069,0.0004378573,0.0008247008,0.0004955883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375199,"about_ca_system_score_gemma":0.001716332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976524,"about_ca_topic_score_gemma":0.002712987,"domain_scores_codex":[0.9944958,0.0001932142,0.000728403,0.0009821899,0.002640398,0.0009600102],"domain_scores_gemma":[0.9957587,0.0001254194,0.0005260811,0.002265217,0.0009311755,0.000393415],"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":[0.0003226179,0.0003183965,0.000002559515,0.0001019965,0.0002376177,0.0002008395,0.000005021537,6.550875e-7,0.00003181831,0.000009122034,0.9973249,0.001444467],"study_design_scores_gemma":[0.001662922,0.0002089784,0.00001095135,0.0003533987,0.0002099975,0.00003656391,0.000009190055,0.000001338884,0.00002165625,0.0001847823,0.9964298,0.0008704435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001855205,0.001008605,0.00004030794,0.0004302156,0.000816136,0.000452376,0.9966754,0.0003506679,0.0002077392],"genre_scores_gemma":[0.000001950931,0.0006095215,0.00006654611,0.0002837863,0.002397935,0.00002826028,0.9947556,0.0002679498,0.001588427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03012776,"threshold_uncertainty_score":0.9995998,"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."}}