{"id":"W4406309864","doi":"10.22454/fammed.2025.466696","title":"Use of AI in Family Medicine Publications: A Joint Editorial From Journal Editors","year":2025,"lang":"en","type":"article","venue":"Family Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Joint (building); Alternative medicine; Library science; Family medicine; Medicine; Computer science; Engineering; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.001368995,0.0002460935,0.0008383499,0.001184467,0.0001190184,0.00001931567,0.0002104876,0.0003280264,0.0002725633],"category_scores_gemma":[0.007594795,0.0001838239,0.00008977237,0.001439837,0.0004701753,0.000311897,0.000044739,0.001072444,0.00002338834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003452484,"about_ca_system_score_gemma":0.001307294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603216,"about_ca_topic_score_gemma":0.0001335923,"domain_scores_codex":[0.9963169,0.000158289,0.001817034,0.0003831685,0.0009326764,0.0003919203],"domain_scores_gemma":[0.9963523,0.0009210153,0.0003615557,0.000579874,0.001468342,0.0003169407],"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":[0.000296689,0.0002085806,0.02753635,0.0000946151,0.00006722898,0.000009161111,0.001927183,0.000007411389,0.02280683,0.0004141952,0.9312803,0.01535142],"study_design_scores_gemma":[0.001167304,0.001129177,0.2202705,0.004886171,0.0002955704,0.0000118109,0.009528485,0.0003533156,0.001906329,0.008771468,0.751469,0.0002108313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.579505,0.004753413,0.002753066,0.1479058,0.2609811,0.001081285,0.00001782109,0.0001056608,0.00289696],"genre_scores_gemma":[0.6571866,0.002506498,0.0008749901,0.01427337,0.3232347,0.00009412836,0.0002664618,0.00004567325,0.0015175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927342,"threshold_uncertainty_score":0.9905202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2975822148321557,"score_gpt":0.4570186690133497,"score_spread":0.159436454181194,"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."}}