{"id":"W2949372305","doi":"10.1080/01621459.2019.1632078","title":"Model-Free Forward Screening Via Cumulative Divergence","year":2019,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute on Drug Abuse; National Natural Science Foundation of China","keywords":"Divergence (linguistics); Mathematics; Statistics","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":[0.008057383,0.001423375,0.002378954,0.00216356,0.0008759279,0.001466405,0.002543244,0.00177911,0.003075155],"category_scores_gemma":[0.03163284,0.000734825,0.001803836,0.00174413,0.001971131,0.002470414,0.003451348,0.002195018,0.0007029879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200023,"about_ca_system_score_gemma":0.003190863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004744299,"about_ca_topic_score_gemma":0.003063279,"domain_scores_codex":[0.9962636,0.001841479,0.0001721747,0.0005000337,0.0009713477,0.0002512922],"domain_scores_gemma":[0.9784151,0.0167912,0.0008795008,0.001525418,0.001883898,0.0005048218],"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":[0.0004839458,0.0002188282,0.006650117,0.0005004187,0.0002930043,0.0007910214,0.0003415642,0.5074804,0.01002527,0.1499965,0.00534953,0.3178693],"study_design_scores_gemma":[0.0000243333,0.00005603395,0.0003508931,0.00001720318,0.00001933068,0.0001096165,0.00001076865,0.9620503,0.001691692,0.03490791,0.0007348571,0.00002704702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005726303,0.0001306787,0.9931707,0.0001155271,0.00002112691,0.00004443128,0.0000402711,0.0003274765,0.0004234229],"genre_scores_gemma":[0.3916484,0.000431262,0.6013309,0.0005195329,0.0001406057,0.0004605279,0.000599319,0.000350343,0.004518997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008057383,"threshold_uncertainty_score":0.04261202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327451455521445,"score_gpt":0.3651657928124792,"score_spread":0.3118912782572647,"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."}}