{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001755572,0.0004578708,0.0004425341,0.000304318,0.0004743082,0.00006338787,0.001445979,0.0006311919,0.00002744261],"category_scores_gemma":[0.0006341197,0.0004224315,0.000183332,0.00005043192,0.001674047,0.0001197585,0.0008520146,0.001022163,0.0001722971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908416,"about_ca_system_score_gemma":0.0004095825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008315074,"about_ca_topic_score_gemma":3.028487e-7,"domain_scores_codex":[0.9971374,0.0002411022,0.000356808,0.001142753,0.0005581393,0.0005637879],"domain_scores_gemma":[0.9973528,0.0008901983,0.0004346519,0.0008570444,0.0002129901,0.0002523028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000591578,0.00002789324,5.333354e-8,0.00009207187,0.00001735535,0.0003176589,0.00001126586,3.837988e-7,0.02375891,0.7631201,0.2119552,0.0006399599],"study_design_scores_gemma":[0.0006613024,0.0000935745,0.000003292751,0.0001611075,0.0001538638,0.00001266187,0.000005120668,0.00002164337,0.01882827,0.0002251043,0.9793138,0.0005202515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001496909,0.00001014043,0.004456159,0.0002231908,0.0009509753,0.0005476176,0.0007988569,0.0004163717,0.992447],"genre_scores_gemma":[0.001685524,0.0001353933,0.00006481238,0.002219234,0.0004114549,0.000003248218,0.00003178352,0.0000508812,0.9953977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7673586,"threshold_uncertainty_score":0.9998227,"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."}}