{"id":"W2530198299","doi":"10.1017/cbo9781316424155","title":"Biologically Modified Justice","year":2016,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Distributive justice; Economic Justice; Lottery; Law and economics; Intervention (counseling); Poverty; Political science; Environmental ethics; Sociology; Law; Economics; Medicine; Philosophy","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":[0.00276423,0.0006701956,0.0004432841,0.0007246449,0.003760198,0.007493439,0.001157387,0.004073725,0.01568593],"category_scores_gemma":[0.005124099,0.0002392722,0.000590503,0.0006886789,0.02618995,0.007050627,0.003588174,0.005505138,0.002897511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007444658,"about_ca_system_score_gemma":0.004295846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218157,"about_ca_topic_score_gemma":0.005267027,"domain_scores_codex":[0.9974138,0.001023998,0.00006965992,0.000409255,0.0007958755,0.0002873281],"domain_scores_gemma":[0.998588,0.0006725843,0.00009895589,0.0003171107,0.0002317382,0.00009155695],"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":[0.000001674806,0.000002901581,0.00001371835,0.00001251821,0.000001467712,0.00001113578,0.000208301,0.00008696422,0.00002248765,0.9890049,0.008057708,0.002576226],"study_design_scores_gemma":[0.000004102366,0.000006689751,0.00007249136,0.00008787815,0.000002352394,0.00004787298,0.000240798,0.0001557197,0.00007820123,0.7499026,0.2493961,0.000005084089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001433005,0.007488468,0.009412047,0.02614138,0.001777883,0.00003788183,0.00004943305,0.00004363143,0.9536163],"genre_scores_gemma":[0.2480693,0.01002416,0.00882272,0.03274853,0.002472722,0.0003011576,0.0001037474,0.0002095085,0.6972482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01568593,"threshold_uncertainty_score":0.0540151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09827981527234192,"score_gpt":0.2731138531892637,"score_spread":0.1748340379169218,"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."}}