{"id":"W4239832222","doi":"10.1007/978-0-387-39940-9_2192","title":"Clinical Genetics","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Genetics; Biology; Evolutionary biology","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":[0.0007516641,0.0007212527,0.0005871374,0.001628753,0.000616244,0.001738972,0.001190036,0.001200867,0.2557513],"category_scores_gemma":[0.003503142,0.000267942,0.0004026744,0.001345053,0.0004057701,0.0009057973,0.001474389,0.001552537,0.1428235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008266076,"about_ca_system_score_gemma":0.001789824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678679,"about_ca_topic_score_gemma":0.003348044,"domain_scores_codex":[0.9995064,0.00009807424,0.0000303284,0.0001103986,0.0001895847,0.0000651982],"domain_scores_gemma":[0.9988407,0.000250021,0.00005561256,0.0001786433,0.0004233235,0.0002516745],"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":[0.00003331554,0.00003645183,0.0009460094,0.0001663197,0.000008520294,0.001023053,0.00008130839,0.00007774899,0.0007404717,0.01220151,0.7235596,0.2611256],"study_design_scores_gemma":[0.00001170481,0.000009390559,0.0007726423,0.0001892595,0.000004737964,0.003384282,0.0000332317,0.00004697066,0.0002252413,0.006385525,0.9889304,0.00000655798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001855303,0.0203447,0.01514638,0.01596703,0.003767345,0.0002868839,0.007587147,0.002145468,0.9328997],"genre_scores_gemma":[0.01982114,0.01810386,0.01836915,0.01244636,0.002533901,0.0003380727,0.01245769,0.0009867075,0.9149432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2557513,"threshold_uncertainty_score":0.8555732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182617277428113,"score_gpt":0.2781513104070218,"score_spread":0.2598895826642105,"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."}}