{"id":"W2022602119","doi":"10.1210/me.2015-1119","title":"Editorial: What's in a Name, or the Impact of Misnomers in Endocrine Research","year":2015,"lang":"en","type":"editorial","venue":"Molecular Endocrinology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Misnomer; Object (grammar); Disease; Misattribution of memory; Epistemology; Psychology; Biology; Medicine; Psychiatry; Computer science; Pathology; Cognition; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001387452,0.0004652269,0.0008558534,0.0005428001,0.0000539037,0.00007746743,0.001335835,0.001211515,0.00003034441],"category_scores_gemma":[0.00776313,0.0002776051,0.0002704707,0.0006304808,0.001314963,0.000007817272,0.0008187773,0.002104268,0.00001965833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339298,"about_ca_system_score_gemma":0.002563824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865163,"about_ca_topic_score_gemma":0.001168945,"domain_scores_codex":[0.9948992,0.001194962,0.0007480114,0.0009004362,0.0009672776,0.001290172],"domain_scores_gemma":[0.9973248,0.0006070289,0.0002273425,0.001099507,0.0005967993,0.0001444843],"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":[0.0009838692,0.000193398,0.0001208585,0.00005374911,0.0001521575,0.0004651484,0.0001239511,0.00006321546,0.006790092,0.000008807283,0.9851607,0.005884062],"study_design_scores_gemma":[0.002199259,0.002122431,0.00006780507,0.0001334765,0.0000175324,0.00003768072,0.0005203559,0.000007364476,0.002379725,0.0002635551,0.9919295,0.000321306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.04368145,0.01430008,0.00001580138,0.0005005829,0.9402848,0.0006701566,0.00009846417,0.00002325221,0.0004253769],"genre_scores_gemma":[0.04930124,0.00777715,0.0002063992,0.00003675925,0.9401944,0.0003479556,0.0008756164,0.0001331825,0.001127281],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.006768818,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03945865314673591,"score_gpt":0.4096940761363234,"score_spread":0.3702354229895874,"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."}}