{"id":"W6920319513","doi":"10.60645/bdc-v587-611e","title":"Guiding Evidence Based Therapy Using Biomarker Intensified Treatment in Heart Failure (GUIDE-IT-BioLINCC)","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Heart failure; Natriuretic peptide; Ejection fraction; Biomarker; Clinical trial; Adverse effect","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01659869,0.0008339647,0.001265153,0.002267984,0.0007078697,0.005396911,0.003494657,0.004164177,0.06972505],"category_scores_gemma":[0.06220811,0.0005888405,0.002108143,0.002504203,0.0005488987,0.001879502,0.004755428,0.003947952,0.04831618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310067,"about_ca_system_score_gemma":0.0129477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006947535,"about_ca_topic_score_gemma":0.0162904,"domain_scores_codex":[0.989641,0.006449248,0.001377244,0.0005075599,0.001624177,0.0004007946],"domain_scores_gemma":[0.9575672,0.02004828,0.004068309,0.002208427,0.009498162,0.006609692],"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":[0.0002016954,0.00009794161,0.000810359,0.001404043,0.0001032601,0.00006182498,0.0000772861,0.0004016418,0.00008672215,0.002987194,0.8378822,0.1558858],"study_design_scores_gemma":[0.001175673,0.0002075885,0.003546649,0.008303158,0.0002359222,0.0001947941,0.0000995601,0.002131352,0.00035819,0.01393955,0.9697402,0.0000673356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.006184072,0.0310601,0.1009484,0.3705391,0.008507382,0.01535631,0.1032998,0.03108283,0.333022],"genre_scores_gemma":[0.03339225,0.02807901,0.6468673,0.1230729,0.006445632,0.02335077,0.06328738,0.007027301,0.06847744],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06972505,"threshold_uncertainty_score":0.2332535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3016038444445498,"score_gpt":0.4307661678658554,"score_spread":0.1291623234213056,"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."}}