{"id":"W2039920681","doi":"10.1111/acel.12155","title":"Collagenase‐resistant collagen promotes mouse aging and vascular cell senescence","year":2013,"lang":"en","type":"article","venue":"Aging Cell","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Senescence; Biology; Type I collagen; Collagenase; Wild type; Downregulation and upregulation; Cell biology; Mutant; Endocrinology; Internal medicine; Biochemistry; Medicine; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001643284,0.0001999042,0.000299643,0.00006864379,0.0002048692,0.00007493475,0.00006925523,0.00005717425,0.00009368463],"category_scores_gemma":[0.00002082592,0.0001693639,0.00006967182,0.0001725999,0.00009714026,0.0001098072,0.0001424858,0.00008984406,0.0001967894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972641,"about_ca_system_score_gemma":0.00003823001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006042387,"about_ca_topic_score_gemma":0.0000134854,"domain_scores_codex":[0.9987945,0.00003805327,0.0002159516,0.0003536792,0.0002540756,0.0003437735],"domain_scores_gemma":[0.9993152,0.00004933543,0.00006891181,0.0003043723,0.00009672848,0.0001654623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001647751,0.0001786358,0.02042932,0.0009064328,0.0000607027,0.000121477,0.001413256,0.000002396165,0.9699699,0.000008059824,0.006187022,0.0007063618],"study_design_scores_gemma":[0.002418925,0.0002675248,0.02078057,0.0002796803,0.0002183324,0.00002826817,0.002908816,0.0004447948,0.9645796,0.0001094773,0.007447936,0.0005160422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847366,0.005900461,0.0000986661,0.0005366473,0.00005690812,0.0008786224,0.000003152538,0.0001153925,0.007673554],"genre_scores_gemma":[0.9882019,0.0003711905,0.001747726,0.0005250034,0.00007838887,0.00004690806,0.000005484007,0.00003394899,0.008989451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005529271,"threshold_uncertainty_score":0.690646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008841646567340962,"score_gpt":0.2166902945672034,"score_spread":0.2078486479998624,"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."}}