{"id":"W3192253053","doi":"","title":"CRISPR, Like any Other Technology: Shedding Determinism & Reviving Athens","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CRISPR; Germline; Narrative; Status quo; Legislation; Genome editing; Political science; Technoscience; Determinism; Principal (computer security); Palindrome; Polling; Genetics; Biology; Sociology; Law; Social science; Epistemology; Computer science; Computer security; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0006768192,0.0001776402,0.0003203315,0.0002628408,0.0002756465,0.00001999382,0.0001754547,0.002139411,0.0001582101],"category_scores_gemma":[0.0001651899,0.0001458662,0.0001708789,0.0004621052,0.0001269964,0.00006983119,0.00007345238,0.01255336,0.00007537611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358001,"about_ca_system_score_gemma":0.001444282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003531864,"about_ca_topic_score_gemma":0.00005433483,"domain_scores_codex":[0.9974484,0.00004316432,0.0003111818,0.0002757032,0.0001583341,0.001763177],"domain_scores_gemma":[0.999309,0.00002804108,0.0001244502,0.0003439289,0.0001133185,0.00008126475],"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":[0.0002869142,0.0007608396,0.03396731,0.0001441511,0.00356319,0.00285366,0.001070554,0.000007059255,0.1977777,0.4921594,0.001504349,0.2659049],"study_design_scores_gemma":[0.006745822,0.002542469,0.001786938,0.002056635,0.001568891,0.1768789,0.01224284,0.0003641194,0.0722988,0.3078937,0.4142922,0.001328726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878299,0.07254323,0.02077815,0.1113992,0.001040987,0.0002744367,0.000001762009,0.0005436211,0.005588749],"genre_scores_gemma":[0.9677266,0.02264398,0.0009482923,0.001664991,0.0002538536,0.000003901879,0.000001363749,0.0000433542,0.006713691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4127878,"threshold_uncertainty_score":0.999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006498344597728148,"score_gpt":0.2582211131244341,"score_spread":0.251722768526706,"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."}}