{"id":"W3166486744","doi":"10.2139/ssrn.3750683","title":"Machine Learning Predicts Acute Pulmonary Exacerbations in Cystic Fibrosis","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Cystic fibrosis; Medicine; Computer science; Internal medicine","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":[0.001521414,0.0003580891,0.0005552275,0.0009557328,0.0004311882,0.001212854,0.0004261597,0.001275401,0.002896392],"category_scores_gemma":[0.01103033,0.0001766282,0.0006249475,0.0004917287,0.0003224931,0.0009043977,0.0006197757,0.001295429,0.0007249491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520133,"about_ca_system_score_gemma":0.0004454606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002487378,"about_ca_topic_score_gemma":0.003320534,"domain_scores_codex":[0.9992148,0.000304324,0.0001051776,0.0001098925,0.0001386318,0.0001271546],"domain_scores_gemma":[0.9920313,0.00506506,0.001337224,0.0002673995,0.0005609786,0.0007378807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003468393,0.0001877067,0.9837205,0.000025203,0.00005934129,0.000145739,0.00002950165,0.001355852,0.0002351365,0.0001018296,0.001138944,0.01265338],"study_design_scores_gemma":[0.00003344501,0.0002553421,0.951017,0.0001098326,0.00008526681,0.0007147476,0.0003281292,0.04451854,0.0004468658,0.001661993,0.0008098126,0.0000190946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949245,0.001238139,0.0005740977,0.001274469,0.0001009751,0.00001348114,0.00049989,0.00002267776,0.001351714],"genre_scores_gemma":[0.9980667,0.000255025,0.0003230385,0.00009611071,0.0001090049,0.000006882535,0.0007092483,0.000004679126,0.0004294525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002896392,"threshold_uncertainty_score":0.009689391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089802655182626,"score_gpt":0.2743831893535533,"score_spread":0.263485162801727,"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."}}