{"id":"W1499969388","doi":"10.1002/9780470015902.a0005889.pub2","title":"Distributive Justice and Genetics","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Distributive justice; Egalitarianism; Luck; Environmental ethics; Economic Justice; Law and economics; Sociology; Inheritance (genetic algorithm); Positive economics; Political science; Economics; Law; Biology; Epistemology; Politics; 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":[0.005650542,0.0003221827,0.0005069961,0.001137049,0.002804131,0.005687228,0.0007887832,0.003583601,0.007425322],"category_scores_gemma":[0.008259356,0.000139078,0.0004000441,0.001016979,0.03327027,0.004132355,0.003114102,0.003087349,0.0006464075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004885116,"about_ca_system_score_gemma":0.002501972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458168,"about_ca_topic_score_gemma":0.002265438,"domain_scores_codex":[0.9949307,0.003056746,0.0001310446,0.0007266333,0.0007827631,0.000372068],"domain_scores_gemma":[0.9929296,0.004385414,0.0005922912,0.0007713502,0.000909457,0.0004118678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000239143,0.000006053045,0.000187787,0.00001149787,0.000002509859,0.00002399539,0.0002163642,0.0001455371,0.00003030346,0.9945511,0.001182031,0.003640431],"study_design_scores_gemma":[0.000003343278,0.000004198043,0.0002367874,0.00003458112,0.000001798349,0.00004282396,0.0001747593,0.0001494064,0.00003432608,0.9825509,0.01676311,0.000003909209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03327762,0.0258842,0.03662588,0.1535464,0.001091929,0.00006012057,0.0001438675,0.00007899226,0.749291],"genre_scores_gemma":[0.929988,0.007801012,0.00780506,0.01276673,0.001226319,0.0001158495,0.00005660212,0.00004969765,0.04019069],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007425322,"threshold_uncertainty_score":0.0354442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06670770396530358,"score_gpt":0.3367020618830729,"score_spread":0.2699943579177694,"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."}}