{"id":"W4315753995","doi":"10.1097/hep.0000000000000288","title":"Introducing Norah Terrault, MD, MPH, Our 2023 AASLD President","year":2023,"lang":"en","type":"article","venue":"Hepatology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Library science; Gerontology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063078,0.000922113,0.0004686603,0.0008293584,0.001171755,0.002238196,0.000888982,0.002381127,0.09158946],"category_scores_gemma":[0.005147258,0.0003719164,0.0003999124,0.0002226689,0.00051316,0.002032058,0.001435906,0.006317477,0.03656785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737993,"about_ca_system_score_gemma":0.00400134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199101,"about_ca_topic_score_gemma":0.01390188,"domain_scores_codex":[0.9991899,0.0001192573,0.00003747698,0.0001273433,0.0003496106,0.0001763812],"domain_scores_gemma":[0.9957516,0.0002102565,0.00009992417,0.00004685581,0.0008632485,0.003028128],"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":[0.000008526933,0.00002145105,0.0003633479,0.00002809915,0.000001540417,0.0001561742,0.00002828747,0.00002114734,0.00005126832,0.0002729325,0.9764379,0.02260926],"study_design_scores_gemma":[0.00001772818,0.00003795518,0.0008122206,0.0003167688,0.000005299927,0.001432914,0.0002563949,0.00009362844,0.00007040282,0.0004631752,0.9964798,0.00001376242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002762335,0.03929403,0.002194675,0.4695353,0.279723,0.0002717482,0.0008543551,0.001210167,0.2041544],"genre_scores_gemma":[0.02274449,0.04571916,0.002375802,0.2229255,0.1113851,0.0003811815,0.0009022207,0.0005997313,0.5929667],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09158946,"threshold_uncertainty_score":0.3063973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04059550990572527,"score_gpt":0.3326257259355994,"score_spread":0.2920302160298741,"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."}}