{"id":"W2730089776","doi":"10.1038/nature22786","title":"Many possible maximum lifespan trajectories","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Evolutionary 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":[0.001403268,0.0005482417,0.0008060855,0.001180017,0.00194074,0.002278376,0.001450927,0.001854434,0.01413472],"category_scores_gemma":[0.009900896,0.0006238828,0.001190841,0.001461561,0.000958684,0.004150404,0.002105116,0.001687926,0.0008829475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041877,"about_ca_system_score_gemma":0.0005494077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009021857,"about_ca_topic_score_gemma":0.002085822,"domain_scores_codex":[0.9994534,0.0001582947,0.00003954024,0.0001527791,0.00007690102,0.0001191002],"domain_scores_gemma":[0.9965861,0.002323337,0.0002687228,0.0003445283,0.0002063326,0.000270973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006211851,0.0001846464,0.02460595,0.0005873975,0.0002179429,0.001306437,0.001470089,0.06022387,0.002120189,0.8076811,0.009566797,0.0914143],"study_design_scores_gemma":[0.0000619323,0.00009937744,0.01252122,0.0002365366,0.0000901911,0.00102369,0.0007350986,0.06046788,0.0007795982,0.9137984,0.01012269,0.00006348691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738063,0.00608789,0.1388749,0.007702003,0.0002035775,0.00009933625,0.00475406,0.0007375502,0.1034778],"genre_scores_gemma":[0.9626232,0.00167886,0.02520613,0.0001902173,0.00005500135,0.0001271443,0.001192847,0.00005708816,0.008869491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413472,"threshold_uncertainty_score":0.04728538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162588462863779,"score_gpt":0.3244510069031908,"score_spread":0.3081921606168129,"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."}}