{"id":"W4221085799","doi":"10.1287/mnsc.2021.4289","title":"Novel Pooling Strategies for Genetic Testing, with Application to Newborn Screening","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pooling; Genetic testing; Computer science; Computational biology; Biology; Genetics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004603176,0.00007288265,0.0000817525,0.0002406606,0.00051818,0.00009869241,0.0003172596,0.000003800315,0.00001062192],"category_scores_gemma":[0.00008629198,0.00006411301,0.00001256645,0.0014142,0.0001216206,0.0001372584,0.0003003899,0.00006153873,0.000004192026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077008,"about_ca_system_score_gemma":0.00009139706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005626216,"about_ca_topic_score_gemma":0.000006857483,"domain_scores_codex":[0.9983767,0.000004767558,0.0001102725,0.0004023718,0.0007637747,0.0003421424],"domain_scores_gemma":[0.9994266,0.00005112369,0.00004230946,0.000274791,0.00009088721,0.0001142892],"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":[0.0003773907,0.0001730216,0.009473741,0.0002762881,0.00002605334,0.00001690754,0.000282577,0.2858968,0.1776456,0.007018528,0.0004194264,0.5183937],"study_design_scores_gemma":[0.002981971,0.003586798,0.4256899,0.000210649,0.000105956,0.00008862688,0.01002172,0.4135592,0.001755439,0.001990534,0.1394973,0.0005118697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04018227,0.00002222945,0.9547825,0.0006040446,0.00002287484,0.001391239,0.000004982534,0.00005930629,0.002930567],"genre_scores_gemma":[0.4155492,4.069732e-7,0.5834944,0.0002123618,0.00002022752,0.000481286,0.000002558649,0.000007113219,0.000232452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5178818,"threshold_uncertainty_score":0.3985474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376912873735407,"score_gpt":0.3254340044853603,"score_spread":0.2916648757480063,"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."}}