{"id":"W1965967594","doi":"10.1023/b:hecf.0000014774.96406.29","title":"Life Extension Technologies: Economic, Psychological, and Social Considerations","year":2003,"lang":"en","type":"article","venue":"HEC Forum","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Philosophy of medicine; Extension (predicate logic); Medical law; Life extension; Psychology; Social psychology; Sociology; Positive economics; Social science; Political science; Computer science; Medicine; Economics; Gerontology; Psychiatry; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000923379,0.0001172395,0.0001176601,0.00002631571,0.0002340274,0.00003660427,0.00006266919,0.0002165432,0.00006024789],"category_scores_gemma":[0.0001597096,0.0001126328,0.00004426245,0.00001493582,0.0001746588,0.000002839289,0.00006628892,0.00007854788,0.0000298922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008217746,"about_ca_system_score_gemma":0.00004261276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004065466,"about_ca_topic_score_gemma":0.00003397865,"domain_scores_codex":[0.9992391,0.00003203884,0.0001454739,0.0003202938,0.00004042463,0.0002226789],"domain_scores_gemma":[0.9996393,0.000008862091,0.00004651509,0.0002275846,0.00002695859,0.00005080528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006627598,0.0004021036,0.01216736,0.00004375493,0.0001616553,0.00001634749,0.0007607362,0.0002231867,0.5409708,0.07419903,0.3645923,0.006396472],"study_design_scores_gemma":[0.002849196,0.001292617,0.004866424,0.00001255658,0.00008041651,0.0003247144,0.006295393,0.0002688674,0.301573,0.04246371,0.6385818,0.001391227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901807,0.001431217,0.002270988,0.004221437,0.0002344725,0.0001641415,0.00001458699,0.00006308933,0.001419413],"genre_scores_gemma":[0.9948231,0.0004642082,0.002467679,0.00201512,0.00004901245,0.00001176535,0.00001612946,0.00001405903,0.000138908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739896,"threshold_uncertainty_score":0.4593032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098478495794062,"score_gpt":0.2652458201220318,"score_spread":0.2442610351640912,"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."}}