{"id":"W4248112044","doi":"10.1007/978-3-319-09483-0_214","title":"Genomics","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto; McMaster University","funders":"","keywords":"Bioethics; Genomics; Engineering ethics; Data science; Political science; Biology; Engineering; 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":[0.0006295183,0.000883202,0.0005371076,0.001035805,0.0007106132,0.002205521,0.0009672937,0.001090132,0.1637043],"category_scores_gemma":[0.0008130582,0.0003934816,0.000399644,0.0008634576,0.000535077,0.001634312,0.001746799,0.001955073,0.1550704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009254236,"about_ca_system_score_gemma":0.001086025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765478,"about_ca_topic_score_gemma":0.00341554,"domain_scores_codex":[0.9996378,0.00004340735,0.00001012209,0.000101379,0.0001676383,0.00003958172],"domain_scores_gemma":[0.9997955,0.00003745301,0.000008115022,0.00005419327,0.00006099567,0.00004376518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005313597,0.0000458034,0.0002175936,0.0002289854,0.000009736152,0.0001056272,0.0001804135,0.000303718,0.01003539,0.07302721,0.5244626,0.3913298],"study_design_scores_gemma":[0.000003110673,0.000005270607,0.0001284695,0.00002998993,0.00000228801,0.00009695485,0.00001747147,0.00008470774,0.001172639,0.007998147,0.9904569,0.000004091519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001280013,0.007924757,0.04138516,0.004416135,0.001933052,0.0001127167,0.003732373,0.004576553,0.9346392],"genre_scores_gemma":[0.005387211,0.003794784,0.01173548,0.002020519,0.0003298142,0.0001018205,0.004060629,0.0009229036,0.9716468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1637043,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00767185844990962,"score_gpt":0.2017538036923092,"score_spread":0.1940819452423996,"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."}}