{"id":"W4244983415","doi":"10.1515/iupac.79.2101","title":"Telomere","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; 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":[0.001128572,0.001944912,0.001966044,0.004003199,0.0009735405,0.003218075,0.002786196,0.002118725,0.09801987],"category_scores_gemma":[0.00927075,0.0006564908,0.002062465,0.007811457,0.0003286676,0.001847945,0.002018191,0.001965836,0.1117872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472382,"about_ca_system_score_gemma":0.003245265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851475,"about_ca_topic_score_gemma":0.03471614,"domain_scores_codex":[0.998695,0.0002139175,0.0002510895,0.0004423416,0.0002536223,0.0001441652],"domain_scores_gemma":[0.9972042,0.0009138157,0.000428392,0.0005658453,0.0006789477,0.0002087105],"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":[0.0001912929,0.00001536472,0.001845056,0.003116716,0.00009369406,0.00004316456,0.00004319483,0.0003250317,0.000163126,0.0009329932,0.9850776,0.008152852],"study_design_scores_gemma":[0.000220785,0.00002048828,0.0043571,0.0008912754,0.0001010179,0.0001062158,0.00004880473,0.000167625,0.0002037188,0.001484604,0.9923663,0.00003215791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007401064,0.0002792666,0.00006033146,0.00006989008,0.00002240456,0.00000929333,0.9986348,0.000154345,0.0006955522],"genre_scores_gemma":[0.0003207972,0.0002947998,0.0002574987,0.0001270878,0.00001104064,0.00008129484,0.9981793,0.00004951119,0.0006786537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9019802,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731474611378707,"score_gpt":0.4090689594873889,"score_spread":0.3917542133736018,"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."}}