{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012273,0.002711416,0.002177933,0.001925864,0.0006962569,0.001673133,0.002061214,0.00183802,0.003907686],"category_scores_gemma":[0.02899664,0.001206756,0.002167112,0.001550879,0.00189131,0.002157968,0.002442286,0.001754037,0.0006385357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809713,"about_ca_system_score_gemma":0.002062534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919816,"about_ca_topic_score_gemma":0.001626044,"domain_scores_codex":[0.9928489,0.004732821,0.0002752747,0.0009047593,0.0008783498,0.0003599035],"domain_scores_gemma":[0.9812115,0.0146135,0.001596372,0.001041735,0.001130271,0.0004065284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005214682,0.0003225616,0.002824679,0.0005010556,0.0002504191,0.0003164856,0.0003071732,0.6823029,0.01111288,0.1029802,0.001546933,0.1970133],"study_design_scores_gemma":[0.00009849681,0.0008779808,0.0008818715,0.00008728822,0.0001357066,0.0001264436,0.0000693395,0.8879119,0.00501181,0.1008824,0.003853868,0.00006291064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009672822,0.0003754966,0.9879787,0.0001640112,0.00002943168,0.0002041978,0.00005834646,0.0001230716,0.001393865],"genre_scores_gemma":[0.2402144,0.0006880655,0.7539606,0.0002846115,0.00008385551,0.0009321671,0.000204865,0.0001226409,0.003508839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.012273,"threshold_uncertainty_score":0.0649066,"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."}}