{"id":"W4402236753","doi":"10.1007/978-3-031-56806-0_77","title":"The Power of Genomics","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Positive Living North","funders":"","keywords":"Genomics; Computational biology; Biology; Computer science; Genetics; Genome; Gene","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":[0.002561278,0.0004732014,0.0003534585,0.0009163075,0.002103127,0.005452465,0.0008985521,0.002034622,0.01283244],"category_scores_gemma":[0.003082451,0.0002538123,0.0003877875,0.0008243965,0.01159563,0.00771757,0.002793849,0.004566718,0.004557409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003867351,"about_ca_system_score_gemma":0.00352272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004533311,"about_ca_topic_score_gemma":0.005732065,"domain_scores_codex":[0.9987772,0.0006163967,0.00002111262,0.0001544415,0.0003392642,0.00009169105],"domain_scores_gemma":[0.9982493,0.00131657,0.00004038934,0.0001365724,0.0001436212,0.0001136653],"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":[0.000008495376,0.000009514025,0.00009520392,0.0001570257,0.000005593604,0.00007903996,0.002456369,0.0002332391,0.0002947086,0.8520632,0.09783669,0.04676085],"study_design_scores_gemma":[0.00000232717,0.000005010669,0.00009630122,0.000180424,0.000002213776,0.00009433525,0.0005040381,0.0001421612,0.0001170785,0.1718896,0.8269605,0.000005884348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00268255,0.07861025,0.02022126,0.1013005,0.004231072,0.00004343085,0.0001425771,0.0002499575,0.7925184],"genre_scores_gemma":[0.1128691,0.1048525,0.02700794,0.06546666,0.005449273,0.0001784156,0.0002595161,0.0005925522,0.683324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01283244,"threshold_uncertainty_score":0.04292876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006828164746631856,"score_gpt":0.2179395787418493,"score_spread":0.2111114139952175,"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."}}