{"id":"W2057510716","doi":"10.1126/science.1202572","title":"Genomics and Clinical Relevance","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Genomics; Relevance (law); Computational biology; Personalized medicine; Data science; Computer science; Biology; Bioinformatics; Medicine; Genetics; Genome; Gene; Political science","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":[0.004896796,0.0005664236,0.0009223546,0.0012852,0.0007193345,0.003210486,0.0007743221,0.002531075,0.00962303],"category_scores_gemma":[0.0207975,0.0002850996,0.000300953,0.0009981808,0.004931008,0.003728617,0.002220094,0.00346848,0.002558476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138501,"about_ca_system_score_gemma":0.002522896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009733044,"about_ca_topic_score_gemma":0.0005520207,"domain_scores_codex":[0.9971322,0.00145112,0.0001550031,0.0004385709,0.0006428462,0.0001802913],"domain_scores_gemma":[0.9881728,0.007316632,0.0006215632,0.001249098,0.001639151,0.001000789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004175779,0.0001883721,0.02633396,0.00134807,0.0001671083,0.003516722,0.00102372,0.00206181,0.006991294,0.3694176,0.1322819,0.456252],"study_design_scores_gemma":[0.00004679153,0.0001204905,0.01735779,0.0008571938,0.00008135775,0.007909852,0.0008759421,0.0007467705,0.001092181,0.6107978,0.360044,0.00006984302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02508073,0.1827775,0.05131221,0.5859159,0.01037753,0.0001391756,0.001736338,0.000477095,0.1421835],"genre_scores_gemma":[0.6471893,0.1174682,0.0266313,0.1417946,0.04931726,0.000199695,0.001359697,0.0003164168,0.0157235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00962303,"threshold_uncertainty_score":0.03219223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747702338517755,"score_gpt":0.2932377247508867,"score_spread":0.2657607013657091,"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."}}