{"id":"W3033080442","doi":"10.3390/ijns6020046","title":"Performance of a Three-Tier (IRT-DNA-IRT) Cystic Fibrosis Screening Algorithm in British Columbia","year":2020,"lang":"en","type":"article","venue":"International Journal of Neonatal Screening","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Algorithm; Cystic fibrosis; Medicine; Computer science; Psychology; Clinical psychology; Artificial intelligence; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006380043,0.0001470404,0.0005294423,0.0002231191,0.0000565372,0.0001568704,0.0005592564,0.00008181846,0.0005871831],"category_scores_gemma":[0.001013462,0.000194028,0.0002337246,0.000412872,0.0001567016,0.0006835529,0.0002319509,0.0006215489,0.000007045033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105469,"about_ca_system_score_gemma":0.0001795442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143941,"about_ca_topic_score_gemma":0.001390914,"domain_scores_codex":[0.9965715,0.00007717378,0.0009927249,0.0002577991,0.001757441,0.0003433884],"domain_scores_gemma":[0.997943,0.000289135,0.00050556,0.0001157768,0.000817975,0.0003285572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007747544,0.00006670014,0.1800078,0.00008558405,0.0002342244,0.001174124,0.0001570227,0.0009089339,0.005925521,0.000001098225,0.0004586427,0.8102056],"study_design_scores_gemma":[0.007112712,0.002408318,0.8288129,0.004961206,0.00008578502,0.003659946,0.0006356902,0.1402822,0.0018538,0.00007090332,0.009769723,0.0003468078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7648873,0.001098677,0.2324872,0.0009008487,0.0002008823,0.0002066596,0.0001187953,0.0000190074,0.00008056729],"genre_scores_gemma":[0.7575824,0.00009352332,0.2415407,0.0001604927,0.0004930747,0.000004211282,0.00002834513,0.00002813998,0.00006915354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8098587,"threshold_uncertainty_score":0.7912232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992331783927749,"score_gpt":0.2808641531265966,"score_spread":0.2609408352873192,"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."}}