{"id":"W2619119797","doi":"","title":"Points of Interest: Department of Biomedical Sciences, 1st Quarter, March 25, 2017","year":2017,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002724952,0.0001193727,0.0003002688,0.0003486523,0.0002206807,0.0000111101,0.0005351464,0.0001421127,0.0001882377],"category_scores_gemma":[0.00006104192,0.0001029989,0.0001544705,0.0002069321,0.001282837,0.0001067616,0.000238962,0.0001698327,0.00004237809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005881481,"about_ca_system_score_gemma":0.0001357386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776633,"about_ca_topic_score_gemma":0.0001625181,"domain_scores_codex":[0.99911,0.00005195468,0.0002095238,0.0002647246,0.0001291967,0.0002346385],"domain_scores_gemma":[0.9988239,0.0000547921,0.0002561583,0.0005973894,0.00007028914,0.0001975066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002098104,0.004375231,0.8804299,0.0007069824,0.001508218,0.002641363,0.0005511877,0.00001348909,0.01206509,0.0172778,0.07247443,0.005858205],"study_design_scores_gemma":[0.01040173,0.003729427,0.9371138,0.0011849,0.0006935425,0.0001687743,0.001977915,0.001895514,0.007194858,0.00112974,0.03395958,0.0005501847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590258,0.00005379325,0.000108409,0.0009767938,0.0002688236,0.000191481,0.00004203299,0.00001817194,0.03931468],"genre_scores_gemma":[0.9983541,0.00008933391,0.0003154493,0.00001693944,0.00002224178,1.710347e-7,0.00001866536,0.000006253993,0.00117683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05668394,"threshold_uncertainty_score":0.4726665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08431221889394579,"score_gpt":0.2673142245969787,"score_spread":0.1830020057030329,"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."}}