{"id":"W6957676396","doi":"10.60645/bdc-7a8u-xuu0","title":"NHLBI TOPMed: Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE)","year":2024,"lang":"en","type":"dataset","venue":"NHLBI BioData Catalyst","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"COPD; Spirometry; Sputum; Observational study; Clinical endpoint; Longitudinal study; Pulmonary function testing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.009055349,0.001731934,0.00222569,0.002849489,0.0002492644,0.0005789397,0.0041036,0.001225439,0.004211697],"category_scores_gemma":[0.003846432,0.001761559,0.0006676923,0.003392935,0.0005857381,0.001120356,0.003313768,0.001653998,0.1830389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006563,"about_ca_system_score_gemma":0.002184253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089319,"about_ca_topic_score_gemma":0.00960564,"domain_scores_codex":[0.9848569,0.001036344,0.002641212,0.003535587,0.006506699,0.00142326],"domain_scores_gemma":[0.9884885,0.0004112966,0.001632263,0.006290112,0.00237224,0.0008055765],"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":[0.0004370236,0.0004836571,0.00008999602,0.001291702,0.002026508,0.0001977413,0.0003209176,0.00005363697,0.001793528,0.000008078897,0.9925711,0.0007261601],"study_design_scores_gemma":[0.001622817,0.0003583326,0.002054037,0.002009869,0.009315588,0.0001206806,0.0003522335,0.0001318789,0.003750921,0.0001617907,0.9784949,0.001626995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004338277,0.001654325,0.00000943918,0.0001510229,0.005320902,0.003823756,0.9837033,0.0003135808,0.0006854294],"genre_scores_gemma":[0.004546931,0.0001947466,0.0001167683,0.0001089585,0.002037243,0.0007120917,0.9915607,0.0003420898,0.0003804447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1788272,"threshold_uncertainty_score":0.9995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06213240364476817,"score_gpt":0.3825746950868723,"score_spread":0.3204422914421041,"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."}}