{"id":"W1584875346","doi":"10.1002/0471719188.ch1","title":"Understanding Human Disease","year":2005,"lang":"en","type":"other","venue":"","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Disease; Biology; Computational biology; Geography; Medicine; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004711276,0.0001968993,0.0001306667,0.00003188023,0.00007411369,0.00002271951,0.0001609319,0.0003058017,0.002423169],"category_scores_gemma":[0.000007677517,0.0001902201,0.0001496074,0.00002294189,0.0001019148,3.511002e-7,0.00007501494,0.00007182267,0.00005695335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002604245,"about_ca_system_score_gemma":0.00005192672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001737384,"about_ca_topic_score_gemma":0.0002542184,"domain_scores_codex":[0.9991906,0.00001914306,0.0001054352,0.0003709365,0.0001094887,0.0002043704],"domain_scores_gemma":[0.9993395,0.000001432835,0.00006227018,0.0004444859,0.000009273363,0.0001431041],"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":[0.000003663261,0.00002821853,0.0002559361,0.00002475686,0.00007640829,0.000001742748,0.00001223461,0.000003634736,0.003674815,0.000948468,0.9948946,0.00007552575],"study_design_scores_gemma":[0.0002348975,0.00003239149,0.00007293124,0.00002101112,0.00003281455,5.644187e-7,0.0001173883,0.000004518129,0.0005356976,0.0001229186,0.9985268,0.0002980301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00021142,0.002394258,0.004050317,0.00009431779,0.0001860187,0.0001551694,0.00004051404,0.00005624384,0.9928117],"genre_scores_gemma":[0.02196209,0.001211444,0.0005036832,0.0004341123,0.00194058,0.000007249261,0.0003285178,0.0002947894,0.9733176],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02175067,"threshold_uncertainty_score":0.9984887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602317150455632,"score_gpt":0.2764830421571174,"score_spread":0.2404598706525611,"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."}}