{"id":"W4367604955","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a6547","title":"FEV1Q Is a Race-agnostic Approach to Assessing Lung Function and Predicting Survival","year":2023,"lang":"en","type":"article","venue":"","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Race (biology); Computer science; Lung function; Function (biology); Artificial intelligence; Lung; Medicine; Internal medicine; Biology; Evolutionary 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":[0.003612099,0.0009538647,0.001037054,0.002495614,0.0009471835,0.001680315,0.001174159,0.001222795,0.004654374],"category_scores_gemma":[0.006674193,0.00030256,0.001673779,0.001252116,0.0005553881,0.0009908836,0.0013046,0.001588029,0.001756795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030497,"about_ca_system_score_gemma":0.0008069855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005651075,"about_ca_topic_score_gemma":0.01093339,"domain_scores_codex":[0.9972945,0.001038077,0.0002850901,0.0004945982,0.0005677693,0.0003199445],"domain_scores_gemma":[0.9975707,0.0005167257,0.0006927616,0.0003350312,0.0005909522,0.0002938859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004040865,0.0001654174,0.9773767,0.00004607804,0.0005106646,0.00007257069,0.0001131551,0.0004598081,0.00172152,0.0004809403,0.002095717,0.01655336],"study_design_scores_gemma":[0.00003725678,0.0004892306,0.9792707,0.00007621637,0.0004656546,0.0008358888,0.0003292996,0.00879766,0.001370813,0.001773293,0.006503979,0.00004996437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956582,0.001992928,0.01732004,0.002176547,0.0005793005,0.0001489882,0.005645249,0.0002812631,0.01527362],"genre_scores_gemma":[0.9905234,0.0002159914,0.003948677,0.0004552137,0.0001688846,0.00007874984,0.001239931,0.00005128299,0.003317853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005651075,"threshold_uncertainty_score":0.01910287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638972841684989,"score_gpt":0.3273068115340003,"score_spread":0.2909170831171504,"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."}}