{"id":"W4402566091","doi":"10.1165/rcmb.2024-0415ed","title":"From Data Mining to Discovery: SNHG11 as a Therapeutic Target in Pulmonary Hypertension","year":2024,"lang":"en","type":"letter","venue":"American Journal of Respiratory Cell and Molecular Biology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Pulmonary hypertension; Medicine; Internal medicine; Cardiology; Drug discovery; Data mining; Intensive care medicine; Computer science; Bioinformatics; 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":[0.01243145,0.001153444,0.002834425,0.00536412,0.0007971898,0.005715135,0.002688854,0.001934951,0.002168108],"category_scores_gemma":[0.04140147,0.0005223428,0.001923516,0.007272834,0.000921845,0.002946914,0.002409407,0.004360189,0.001069119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510895,"about_ca_system_score_gemma":0.002686684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238537,"about_ca_topic_score_gemma":0.003431479,"domain_scores_codex":[0.9918422,0.003637637,0.0008420813,0.001512462,0.001932454,0.0002331897],"domain_scores_gemma":[0.9685414,0.0240149,0.002054713,0.002059496,0.002400792,0.0009287397],"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":[0.00123839,0.0004344324,0.062599,0.006899628,0.003201368,0.001520841,0.0004583928,0.01655424,0.00267384,0.01326178,0.1376146,0.7535436],"study_design_scores_gemma":[0.000974272,0.00126665,0.03167501,0.01030804,0.003906622,0.004041622,0.002344395,0.2645864,0.01247664,0.3647672,0.3031988,0.000454347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0707825,0.3366121,0.2879344,0.2400038,0.005126261,0.001230205,0.03924774,0.006974767,0.01208827],"genre_scores_gemma":[0.4909586,0.1215686,0.2951787,0.04683211,0.007464569,0.001297805,0.0336759,0.0005995556,0.002424195],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01243145,"threshold_uncertainty_score":0.06574464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258910633516189,"score_gpt":0.3166830260195733,"score_spread":0.2840939196844114,"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."}}