{"id":"W6945163377","doi":"10.25345/c5t211","title":"MassIVE MSV000086654 - Mouse cardiac proteomics + diabetes drugs","year":2021,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diabetes mellitus; Disease; Drug; Immune system; Proteomics","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":[0.001083516,0.005036212,0.002490578,0.003532969,0.001102689,0.002469414,0.004057744,0.004233066,0.09017071],"category_scores_gemma":[0.003678608,0.001055026,0.002372669,0.004068963,0.0005759422,0.001146463,0.0022543,0.001639401,0.09779514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432201,"about_ca_system_score_gemma":0.002317815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763919,"about_ca_topic_score_gemma":0.03489374,"domain_scores_codex":[0.9990165,0.000153019,0.00007363966,0.0003283774,0.0002369779,0.0001914433],"domain_scores_gemma":[0.9987802,0.0003487075,0.0001250027,0.0003139609,0.0002278927,0.0002042834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002956759,0.0000408914,0.0007418984,0.0008672836,0.0001003697,0.00004109825,0.00001502988,0.0005937101,0.0006203873,0.0003613747,0.9933746,0.00294761],"study_design_scores_gemma":[0.001646984,0.0001290587,0.005206098,0.0005090215,0.000279971,0.0002459421,0.0000661189,0.00335232,0.003058802,0.004141962,0.9812654,0.00009839977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003666172,0.0002601331,0.0001918083,0.0001129154,0.00004938043,0.00001958294,0.9959316,0.002006107,0.001061932],"genre_scores_gemma":[0.0007488875,0.0001207241,0.0006262087,0.000132747,0.00001249154,0.00006429057,0.9972669,0.000241653,0.0007861567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09017071,"threshold_uncertainty_score":0.3016511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009522598076370377,"score_gpt":0.2372448576923075,"score_spread":0.2277222596159371,"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."}}