{"id":"W4312796408","doi":"10.2174/1871529x2203221226121321","title":"Meet The Associate Editor","year":2022,"lang":"en","type":"article","venue":"Cardiovascular & Haematological Disorders - Drug Targets","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002353736,0.0002514537,0.0009280118,0.0001047832,0.001296898,0.00009956337,0.0008081864,0.00006773471,0.00525105],"category_scores_gemma":[0.0002714083,0.0002144665,0.001424782,0.000334493,0.0002845628,0.0001393794,0.000780701,0.0003038128,0.003284455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526228,"about_ca_system_score_gemma":0.00001681409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001252231,"about_ca_topic_score_gemma":0.00001047878,"domain_scores_codex":[0.9977018,0.0001520452,0.0005522548,0.0008107894,0.0001777011,0.0006053559],"domain_scores_gemma":[0.9987829,0.0001153657,0.0002350944,0.0007481658,0.00002455641,0.00009388659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009705425,0.0001140216,0.004348428,0.00001084491,0.001219252,0.00001888669,0.0008185364,0.001310314,1.23162e-7,0.07440133,0.9173949,0.0003536053],"study_design_scores_gemma":[0.0005236254,0.00001611266,0.001201968,0.000001639509,0.00004810726,0.000008788891,0.002123881,0.000311513,0.000002885472,0.02884832,0.9665831,0.0003300146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04118505,0.2324775,0.001281041,0.008286714,0.05214383,0.001845317,0.001775514,0.0004984429,0.6605066],"genre_scores_gemma":[0.9794111,0.001421651,0.00009320472,0.0009662202,0.0006424337,0.0004777586,0.000036147,0.00004053043,0.01691098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.938226,"threshold_uncertainty_score":0.9974916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709216459309375,"score_gpt":0.1809574318665975,"score_spread":0.1638652672735037,"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."}}