{"id":"W2298043724","doi":"10.3917/popu.p2001.13n1.0040","title":"Principles of Biodemography with special reference to Human Longevity","year":2001,"lang":"en","type":"article","venue":"Population","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Longevity; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009186843,0.0001010413,0.0001074271,0.00005986695,0.00007134082,0.0000117976,0.0001110552,0.0000758208,0.00002972468],"category_scores_gemma":[0.00001557337,0.0000931371,0.00003364455,0.0001101394,0.00003729662,0.000003342504,0.00004476164,0.00004021736,0.000004988813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007420397,"about_ca_system_score_gemma":0.0000112922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883495,"about_ca_topic_score_gemma":0.001339629,"domain_scores_codex":[0.9993022,0.00002603489,0.0001738415,0.0002292414,0.0001322391,0.0001364177],"domain_scores_gemma":[0.9995099,0.000002016623,0.00008629163,0.0002720745,0.00007140038,0.00005832593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008132387,0.00007746274,0.8145846,0.00001716909,0.00002279068,0.000001094286,0.0001658522,0.001342829,0.1807084,0.001147607,0.00009087291,0.001759977],"study_design_scores_gemma":[0.0002373829,0.0003535863,0.9422151,0.00001289406,0.00001949334,0.000005083335,0.00002257954,0.0000265962,0.04382318,0.0001447724,0.01296554,0.0001737521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929777,0.00003636405,0.003873369,0.00005988854,0.00004992367,0.0001515992,0.000008028334,0.00001003689,0.002833114],"genre_scores_gemma":[0.9967873,0.00002348607,0.002372689,0.00005818283,0.0003215656,0.00000488129,0.0001707557,0.00001253556,0.0002485799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368852,"threshold_uncertainty_score":0.3798021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962343125755569,"score_gpt":0.2670332616724735,"score_spread":0.2374098304149179,"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."}}