{"id":"W3187486021","doi":"10.1080/00401706.2021.1945333","title":"New Frontiers of Biostatistics and Bioinformatics","year":2021,"lang":"en","type":"article","venue":"Technometrics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep Society","funders":"","keywords":"Biostatistics; Atlanta; Volume (thermodynamics); Computer science; Data science; Bioinformatics; Medicine; Biology; Epidemiology; Pathology","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":[0.0001991956,0.0001141448,0.0001744225,0.0003160551,0.00003927871,0.00002797624,0.0001907186,0.0001919869,0.00001525769],"category_scores_gemma":[0.001203589,0.0001067648,0.00004846773,0.0009522249,0.0001742693,0.00000402873,0.0002851269,0.0001009601,0.000005939062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000110403,"about_ca_system_score_gemma":0.0002294001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007079489,"about_ca_topic_score_gemma":0.000004650728,"domain_scores_codex":[0.9989502,0.000009500372,0.000344803,0.0001471538,0.0003113753,0.0002369079],"domain_scores_gemma":[0.9991402,0.00002481107,0.0001007257,0.0003353013,0.0002070898,0.0001918828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003371586,0.000111223,0.01224169,0.0003655646,0.0001317884,0.00000887124,0.0001250696,0.000004167602,0.04696787,0.0009470611,0.1345798,0.8044832],"study_design_scores_gemma":[0.001777648,0.001049157,0.007002545,0.00004195045,0.00007603977,0.00006362651,0.001638268,0.002961408,0.6181203,0.001755854,0.3648604,0.0006528348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1073263,0.01294084,0.8724509,0.0005248994,0.0004774503,0.0003024775,0.0002622593,0.00004380812,0.005671018],"genre_scores_gemma":[0.2443657,0.01268803,0.7402862,0.0002104292,0.0001117835,0.00000307144,0.0002724728,0.00002426733,0.002038041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8038303,"threshold_uncertainty_score":0.4353743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376629470649777,"score_gpt":0.2635092168770569,"score_spread":0.2497429221705591,"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."}}