{"id":"W2143611818","doi":"10.1080/14636778.2010.507485","title":"Personal genomics and individual identities: motivations and moral imperatives of early users","year":2010,"lang":"en","type":"article","venue":"New Genetics and Society","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Human Genome Research Institute; Case Western Reserve University","keywords":"Personal genomics; Variety (cybernetics); Skepticism; Genomics; Biomedicine; Psychology; Data science; Genomic medicine; Optimism; Internet privacy; Knowledge management; Genome; Social psychology; Computer science; Biology; Epistemology; Genetics; Computational biology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00005999642,0.00009300459,0.00008687988,0.00001158861,0.0000732368,0.00004153831,0.00004444056,0.0001089435,0.00000471472],"category_scores_gemma":[0.00000900627,0.00009550557,0.00003804364,0.00002474985,0.0001470172,0.000003330172,0.00008971008,0.00008342697,7.167065e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001435444,"about_ca_system_score_gemma":0.00004153518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001890289,"about_ca_topic_score_gemma":0.00001810427,"domain_scores_codex":[0.9995553,0.000005479494,0.0001006137,0.0001666635,0.00006294363,0.000109009],"domain_scores_gemma":[0.9997694,0.000008528279,0.0000266322,0.00007944167,0.00003043394,0.00008555636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004354483,0.00001167611,0.08609259,0.00002673184,0.00009090927,1.510375e-7,0.006359491,0.00002729053,0.9044704,0.0002348264,0.0005325959,0.002148983],"study_design_scores_gemma":[0.001076986,0.0003134702,0.8668197,0.000007950698,0.00007049611,0.00001758315,0.00248663,0.001250381,0.1248439,0.0003563577,0.00243686,0.0003196341],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974173,0.00126534,0.001060119,0.00004441297,0.00005789198,0.00006652968,0.00003661829,0.000003147162,0.00004868495],"genre_scores_gemma":[0.991098,0.001706592,0.006845376,0.00005297055,0.0001110729,0.000001882092,0.00001700084,0.0000108899,0.0001561883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7807271,"threshold_uncertainty_score":0.3894604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070111161549918,"score_gpt":0.2663685938121081,"score_spread":0.2556674821966089,"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."}}