{"id":"W4412015577","doi":"10.1192/j.eurpsy.2025.10061","title":"AI in scientific writing and publishing: A call for critical engagement","year":2025,"lang":"en","type":"article","venue":"European Psychiatry","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Publishing; Scientific publishing; Psychology; Political science; Law","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":[0.001688113,0.00006903512,0.00009953608,0.0002111631,0.0002222024,0.0002930575,0.00007196971,0.00003357196,0.00001486851],"category_scores_gemma":[0.001253198,0.00006824466,0.000031589,0.0002673926,0.00008473641,0.0001763008,0.00003874908,0.0002744422,0.00001469837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003827097,"about_ca_system_score_gemma":0.0002461613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003589192,"about_ca_topic_score_gemma":0.00007599006,"domain_scores_codex":[0.9989493,0.0001098427,0.0003367642,0.0002874797,0.00009320277,0.0002233679],"domain_scores_gemma":[0.999397,0.0001760918,0.00002287461,0.0001790977,0.0001360632,0.00008883944],"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":[0.0002129964,0.0006697622,0.316947,0.001736538,0.00002411747,0.00001293164,0.006555812,0.000002989731,0.0006615852,0.1350272,0.3501866,0.1879625],"study_design_scores_gemma":[0.001195953,0.0008291241,0.3405214,0.007081758,0.0002070572,0.00004209523,0.03596555,0.004687811,0.001007287,0.08505658,0.5226933,0.0007121268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327987,0.003125951,0.004598761,0.2258087,0.006191202,0.000741775,0.000005465875,0.00008539122,0.02664402],"genre_scores_gemma":[0.9847606,0.00000822473,0.004981348,0.008828816,0.0004684615,0.00001583757,0.00001550248,0.0000124495,0.0009087729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519619,"threshold_uncertainty_score":0.282596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298071268090837,"score_gpt":0.4541087473292126,"score_spread":0.324301620520129,"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."}}