{"id":"W2996694272","doi":"10.1126/science.aaz5221","title":"Biotechnologies nibbling at the legal “human”","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Political science; Biology; Psychology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007752086,0.0001063907,0.00008606617,0.0002142101,0.001171734,0.0002062332,0.001616414,0.00005367765,0.0004429076],"category_scores_gemma":[0.001852841,0.00007059387,0.000029101,0.002247034,0.004838938,0.0004553003,0.0008538876,0.0004061519,0.001391727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055054,"about_ca_system_score_gemma":0.0001121467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008790181,"about_ca_topic_score_gemma":0.000009226804,"domain_scores_codex":[0.9978143,0.00003440195,0.0002073585,0.0006226474,0.000862243,0.0004590266],"domain_scores_gemma":[0.9987836,0.0002374862,0.0001099319,0.0007533562,0.00006695768,0.00004867485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001116615,0.0000141316,0.0001052332,0.000003103613,2.675605e-7,0.000002525152,0.00005078206,0.000007850558,0.9191487,0.07965615,0.0003477951,0.0006623509],"study_design_scores_gemma":[0.00009185551,0.00005545139,0.0007135962,0.00001075989,0.000001107104,0.000009751976,0.00006620522,0.0001644878,0.9546862,0.005090061,0.0390083,0.0001022821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750349,0.00001535846,0.0001564446,0.009482558,0.0008997392,0.0002493559,0.00000433498,0.0002330647,0.01392422],"genre_scores_gemma":[0.9863694,0.0000114412,0.000102774,0.003371259,0.00003554333,0.0000114594,3.069349e-7,0.000007532205,0.01009027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07456609,"threshold_uncertainty_score":0.9993858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06710489181959685,"score_gpt":0.3488374919381205,"score_spread":0.2817326001185236,"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."}}