{"id":"W3166485183","doi":"","title":"Biology of Aging I","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biology; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006224067,0.0005398433,0.0005089573,0.0008676213,0.0009848056,0.002597429,0.0006966,0.001363004,0.006255577],"category_scores_gemma":[0.0009022471,0.0001756545,0.0003861405,0.000370592,0.002161497,0.002028081,0.001507978,0.002165425,0.00215551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604226,"about_ca_system_score_gemma":0.001150781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005951897,"about_ca_topic_score_gemma":0.000324758,"domain_scores_codex":[0.9996946,0.00004842401,0.00001163522,0.0001173083,0.00007391262,0.00005408408],"domain_scores_gemma":[0.9995757,0.00004906464,0.00005477431,0.00007125627,0.00009923454,0.000149878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001260812,0.00008656076,0.002707692,0.0006548846,0.00006702466,0.000481461,0.00123501,0.0005336316,0.06878873,0.6339399,0.0727353,0.2186437],"study_design_scores_gemma":[0.00002446064,0.0001833294,0.004298659,0.0002844353,0.00005068464,0.001470103,0.0006005717,0.0006215792,0.01643152,0.1878091,0.788182,0.0000435527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06206778,0.4470237,0.04749652,0.09991275,0.02980577,0.0001081427,0.000707011,0.001496879,0.3113813],"genre_scores_gemma":[0.6218484,0.1852424,0.01224176,0.02318221,0.01585645,0.0002067621,0.0006437487,0.0001696891,0.1406086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006255577,"threshold_uncertainty_score":0.02092695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768100590564912,"score_gpt":0.2860684882970186,"score_spread":0.2683874823913694,"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."}}