{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01231146,0.0003423278,0.0003467199,0.001120764,0.006841007,0.008477745,0.0008083196,0.002572131,0.003137327],"category_scores_gemma":[0.02503284,0.0004672027,0.000335252,0.0005484335,0.01117284,0.00451354,0.005684153,0.004725746,0.0004955608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147108,"about_ca_system_score_gemma":0.002427277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005265291,"about_ca_topic_score_gemma":0.004667492,"domain_scores_codex":[0.9871371,0.009420113,0.0002226542,0.0003964905,0.00165131,0.001172373],"domain_scores_gemma":[0.972248,0.01664585,0.002911013,0.001247189,0.002887764,0.004060209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001329636,0.0001691777,0.0539679,0.00005661073,0.00001799168,0.001074004,0.9050227,0.00008759958,0.001813559,0.02010365,0.001073822,0.01647991],"study_design_scores_gemma":[0.00001517463,0.0001393715,0.01910466,0.0001096425,0.00002030499,0.001281149,0.9418863,0.0008523913,0.001200554,0.0122546,0.02303527,0.0001006075],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804541,0.0003926458,0.002357623,0.004364529,0.00004108803,0.00002572255,0.00001713593,0.00001733945,0.01232975],"genre_scores_gemma":[0.9972687,0.00008944549,0.0004092122,0.0004202447,0.000005534046,0.00001197457,0.000006568847,0.000008709831,0.001779524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993159,"threshold_uncertainty_score":0.06510997,"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."}}