{"id":"W4312190062","doi":"10.15277/bjd.2022.354","title":"From muck to molecule: insulin discovery over 50 years","year":2022,"lang":"en","type":"article","venue":"British Journal of Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Muck; Insulin; Medicine; Environmental science; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004751676,0.00008886396,0.0003120051,0.0002285367,0.00008873051,0.0001633923,0.0002721739,0.00002733511,0.001428482],"category_scores_gemma":[0.0002005314,0.000100808,0.0001741367,0.0003130804,0.00003879068,0.0002145771,0.0003221451,0.0004650378,0.00002840473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008772176,"about_ca_system_score_gemma":0.00008090327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915516,"about_ca_topic_score_gemma":0.000003443375,"domain_scores_codex":[0.9982683,0.00009299654,0.0003313681,0.0001629933,0.0008174263,0.0003268951],"domain_scores_gemma":[0.999388,0.00006117071,0.0001201422,0.0001443846,0.00007562697,0.0002107165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002544774,0.001398024,0.1532959,0.000113457,0.001070428,0.002551695,0.0003869539,0.0002427192,0.02756803,0.00005343003,0.4731237,0.3399411],"study_design_scores_gemma":[0.003455364,0.001329679,0.8601013,0.0004760637,0.0001697922,0.00002670469,0.0004066657,0.00008899502,0.001325015,0.0007450359,0.1316139,0.0002615002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933762,0.003831883,0.00001828441,0.001045581,0.0003896394,0.0001773456,0.00008098168,0.00001277754,0.001067338],"genre_scores_gemma":[0.9934859,0.00006973054,0.0004637123,0.001558975,0.0005410743,0.0000111691,0.00002803236,0.00003181075,0.003809543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7068054,"threshold_uncertainty_score":0.9994844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009527564981095325,"score_gpt":0.2582930568596237,"score_spread":0.2487654918785284,"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."}}