{"id":"W3164290263","doi":"10.1038/s42003-021-02172-4","title":"A natural constant predicts survival to maximum age","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Industries (Canada); Dalhousie University","funders":"Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Canada First Research Excellence Fund; Ocean Frontier Institute; Bundesamt für Naturschutz; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel","keywords":"Cohort; Demography; Range (aeronautics); Ageing; Cohort effect; Mortality rate; Biology; Empirical evidence; Ecology; Statistics; Mathematics; Genetics; Sociology; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001757629,0.00006710358,0.0001021586,0.00001927346,0.000220151,0.000009586205,0.0005518385,0.00007988593,0.0008471769],"category_scores_gemma":[0.0002269714,0.00006623723,0.00002797574,0.0002511529,0.0003842207,0.00004881206,0.0008975645,0.0001565926,0.0008052777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006090177,"about_ca_system_score_gemma":0.00003045429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005901155,"about_ca_topic_score_gemma":0.002102165,"domain_scores_codex":[0.9991847,0.0002810797,0.0001500673,0.0001803105,0.00003928805,0.0001645378],"domain_scores_gemma":[0.9987058,0.000220517,0.00003615456,0.0009632034,0.00001889471,0.00005540363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001474022,0.0001415775,0.9422753,0.000001509813,0.00002504227,0.00001055739,0.0003003021,0.00001555759,0.009862265,0.03063926,0.008281738,0.00843215],"study_design_scores_gemma":[0.00027454,0.00005148659,0.7398587,0.000005543375,0.00001289364,0.0000243663,0.0001684162,0.000317704,0.0002241123,0.01780959,0.2410918,0.000160858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775278,0.0003736058,0.0008865076,0.02840851,0.0005338211,0.0002275069,0.00002479312,0.00009216411,0.09192526],"genre_scores_gemma":[0.9884178,0.00007479078,0.007054754,0.00342108,0.00001474624,0.00004485019,0.0001515214,0.000004531947,0.0008159251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2328101,"threshold_uncertainty_score":0.9999727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098954290438586,"score_gpt":0.2792906300910697,"score_spread":0.2483010871866839,"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."}}