{"id":"W7026905978","doi":"","title":"Balancing Biomedical Progress Against Reproductive Justice in the Case of Human Germline Genome Editing with CRISPR-Cas9","year":2021,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bioethics; Economic Justice; Perspective (graphical); Genome editing; Germline; Premise; Human enhancement; Public policy; Reproductive technology; Social issues","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":[0.0236565,0.0006501336,0.001037255,0.001002499,0.01847268,0.01687572,0.001734945,0.02186463,0.003953548],"category_scores_gemma":[0.02306558,0.0005871385,0.001317998,0.0008131438,0.07185729,0.01579073,0.01263082,0.02170761,0.0008294967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008718301,"about_ca_system_score_gemma":0.006803783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005665227,"about_ca_topic_score_gemma":0.007019552,"domain_scores_codex":[0.9773,0.01335004,0.0004555465,0.002664227,0.003270103,0.002960042],"domain_scores_gemma":[0.9836985,0.01244143,0.0009562587,0.001051269,0.0009368619,0.0009156297],"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":[0.00001069732,0.0000100084,0.0001204524,0.00002708316,0.000006953873,0.0004108204,0.006468467,0.0001350235,0.0001198348,0.9859259,0.004690445,0.002074363],"study_design_scores_gemma":[0.00002356093,0.0000413732,0.0002799738,0.0003176256,0.00002145783,0.0005477563,0.00785682,0.0005118728,0.0004234668,0.8834293,0.1064973,0.00004951743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01970132,0.00921218,0.01788891,0.6827428,0.002014357,0.00008192239,0.00004876546,0.00004446391,0.2682653],"genre_scores_gemma":[0.7873847,0.006671322,0.01206822,0.1545293,0.003056186,0.0004185049,0.00003199394,0.0001462052,0.03569357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0236565,"threshold_uncertainty_score":0.125109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004322327026695866,"score_gpt":0.2410704716639434,"score_spread":0.2367481446372475,"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."}}