{"id":"W3087765802","doi":"10.1093/biolinnean/blaa127","title":"Asynchrony of actuarial and reproductive senescence: a lesson from an indeterminate grower","year":2020,"lang":"en","type":"article","venue":"Biological Journal of the Linnean Society","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Senescence; Asynchrony (computer programming); Biology; Longevity; Fecundity; Indeterminate growth; Indeterminate; Reproduction; Demography; Ecology; Population; Genetics","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":[0.000763936,0.0001186184,0.0002535358,0.000399234,0.0003084272,0.0005794267,0.0003785228,0.0005126802,0.001326442],"category_scores_gemma":[0.001795418,0.0001428286,0.0001191366,0.0001052898,0.0008828583,0.0006535545,0.000696295,0.000534391,0.0002331636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025726,"about_ca_system_score_gemma":0.000142028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006885332,"about_ca_topic_score_gemma":0.001196531,"domain_scores_codex":[0.9998468,0.0000324586,0.000009296626,0.00006390333,0.00002765016,0.00001980834],"domain_scores_gemma":[0.9989311,0.0003426989,0.0003008429,0.0001490158,0.00007087116,0.000205475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149706,0.000233572,0.6389288,0.000196741,0.00009852058,0.004017327,0.004822882,0.002994344,0.2245314,0.02378745,0.001869383,0.09736998],"study_design_scores_gemma":[0.00001511213,0.0003232537,0.9720399,0.0000366391,0.00002549021,0.00219225,0.0008231381,0.003886835,0.004244614,0.01135228,0.005021297,0.00003914285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992148,0.0007724814,0.002939396,0.000499011,0.00002733185,0.000005730805,0.00005740616,0.00003257708,0.003518171],"genre_scores_gemma":[0.9985186,0.0001369108,0.000673406,0.00007026688,0.00002281197,0.00000320019,0.00002665199,0.000007755682,0.0005402351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001326442,"threshold_uncertainty_score":0.004437387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805930690944777,"score_gpt":0.2507227331020233,"score_spread":0.2026634261925755,"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."}}