{"id":"W4394104236","doi":"10.6084/m9.figshare.20486767","title":"Additional file 2 of Mendelian randomization of circulating proteome identifies actionable targets in heart failure","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Mendelian randomization; Heart failure; Computational biology; Proteome; Bioinformatics; Computer science; Biology; Genetics; Medicine; Internal medicine; Gene; Genetic variants","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":[0.0002507373,0.0001323316,0.0002791646,0.0001147526,0.00005932729,0.00002945272,0.0003399074,0.0001664116,0.9062977],"category_scores_gemma":[0.001013687,0.0001416866,0.00007077455,0.0001315736,0.00004088821,0.00001235877,0.0003962511,0.000201849,0.00002523017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002059811,"about_ca_system_score_gemma":0.0002288172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008855506,"about_ca_topic_score_gemma":0.0001570019,"domain_scores_codex":[0.9988886,0.0001033237,0.0004646619,0.0002063881,0.0002202253,0.0001168721],"domain_scores_gemma":[0.9989688,0.0001008275,0.0005420389,0.0002871046,0.00007852702,0.00002263496],"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":[0.00006981679,0.0000441237,0.000003192284,0.00009750936,0.0000380567,6.939025e-7,0.0000152998,0.00110629,0.001880039,7.130232e-8,0.996624,0.0001209411],"study_design_scores_gemma":[0.0006180345,0.00005809048,0.00002811985,0.0001099754,0.00001148336,0.000008768125,0.00008796181,0.0001164809,0.002488781,0.00000411415,0.9963375,0.0001307344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000101314,0.00001233173,0.000009316091,0.00002246604,0.00004150217,0.000510948,0.998957,3.125826e-7,0.0003448167],"genre_scores_gemma":[0.00003286832,0.000004272292,0.009155257,0.00001285759,0.00003973611,0.0002978744,0.9896349,0.000009706688,0.0008125442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9062725,"threshold_uncertainty_score":0.5777813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009597533935198193,"score_gpt":0.269653126541891,"score_spread":0.2600555926066928,"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."}}