{"id":"W3112799330","doi":"10.2196/23530","title":"Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Ohio Development Services Agency; National Institutes of Health; Cystic Fibrosis Foundation","keywords":"Medicine; Cystic fibrosis; Analytics; Computer science; Disease; Intensive care medicine; Data science; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004861054,0.0007704627,0.0003143825,0.001043958,0.0009491991,0.002400305,0.001711556,0.001577651,0.006876903],"category_scores_gemma":[0.01279614,0.0003647526,0.0007720753,0.0006498035,0.0009339801,0.002824038,0.004412622,0.001070488,0.002840098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006019991,"about_ca_system_score_gemma":0.001191063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195993,"about_ca_topic_score_gemma":0.001691281,"domain_scores_codex":[0.9974651,0.001510845,0.0001930892,0.0002841123,0.0004047384,0.000142094],"domain_scores_gemma":[0.9909182,0.006688078,0.0003693576,0.000807628,0.0005723183,0.0006444286],"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":[0.0009583609,0.001115435,0.03422515,0.002253765,0.0001245214,0.004886492,0.0188529,0.005487097,0.02520506,0.02117347,0.08241212,0.8033056],"study_design_scores_gemma":[0.0005106031,0.002165864,0.04780281,0.002329119,0.0003211554,0.01087209,0.008856804,0.09813374,0.02068142,0.04638473,0.7613648,0.000576911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1450881,0.001021247,0.7375997,0.008655101,0.0003790052,0.003398061,0.002624728,0.05295233,0.04828163],"genre_scores_gemma":[0.2938935,0.0006265591,0.6865675,0.001697567,0.000176741,0.001534095,0.002141551,0.001227735,0.01213476],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.006876903,"threshold_uncertainty_score":0.02570802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507460678575654,"score_gpt":0.3331123940922956,"score_spread":0.3180377873065391,"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."}}