{"id":"W1608608933","doi":"","title":"Familial and Environmental Influences on Longevity in a Pre-industrial Population","year":2005,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Longevity; Population; Geography; Biology; Environmental health; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007462074,0.0002531769,0.0001552186,0.0008218493,0.001031598,0.0003858213,0.0002742603,0.0002191429,0.0009401458],"category_scores_gemma":[0.001682107,0.0001269517,0.0002983055,0.0009779372,0.0006263547,0.0001468004,0.0003088856,0.0002696488,0.00007927657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002774878,"about_ca_system_score_gemma":0.002414974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6831986,"about_ca_topic_score_gemma":0.8137043,"domain_scores_codex":[0.9996457,0.00009475697,0.00001032886,0.00005046399,0.00006609925,0.0001325581],"domain_scores_gemma":[0.9994185,0.0001395328,0.000110073,0.00008187846,0.0001372804,0.0001127652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001619033,0.00002078886,0.9864781,0.000012955,0.0001136288,0.0002759739,0.0005335174,0.0007044948,0.001380806,0.0006635651,0.0001426784,0.009511651],"study_design_scores_gemma":[0.000002266221,0.00003525378,0.9987395,0.000004110042,0.00003037547,0.0001218852,0.0001968718,0.000311751,0.00007893418,0.000103714,0.0003699526,0.000005346516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986885,0.0004524948,0.0001452163,0.00004902942,0.000001846728,0.000002397493,0.0001578617,0.000005541032,0.0004970804],"genre_scores_gemma":[0.9989298,0.0003778055,0.0002553202,0.00001009484,0.000003418592,0.000002000173,0.0001591309,0.000001334829,0.0002611853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6831986,"threshold_uncertainty_score":0.6373342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707993591874053,"score_gpt":0.278059592358729,"score_spread":0.2309796564399884,"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."}}