{"id":"W4319594283","doi":"10.3889/oamjms.2023.11502","title":"Chatbots, ChatGPT, and Scholarly Manuscripts: WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications","year":2023,"lang":"en","type":"article","venue":"Open Access Macedonian Journal of Medical Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada); Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Relation (database); Publication; Field (mathematics); Work (physics); Library science; World Wide Web; Engineering ethics; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05411717,0.001032099,0.0009465389,0.006824973,0.003937073,0.01280917,0.004216411,0.01904516,0.05214546],"category_scores_gemma":[0.2553547,0.001738484,0.001805513,0.004272202,0.005023332,0.02148559,0.008492849,0.01299619,0.04475356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003526824,"about_ca_system_score_gemma":0.01322018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333174,"about_ca_topic_score_gemma":0.04984806,"domain_scores_codex":[0.9578932,0.01820862,0.008877585,0.00149333,0.01149462,0.00203274],"domain_scores_gemma":[0.548373,0.2434223,0.02728837,0.02301032,0.1356425,0.02226362],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000199044,0.000236973,0.0015328,0.002788058,0.0000325981,0.0002337137,0.00239959,0.0002406141,0.002135908,0.008536462,0.839905,0.1417593],"study_design_scores_gemma":[0.00004777908,0.00009978303,0.00307178,0.005845402,0.00003258841,0.0001463361,0.001550089,0.0002378819,0.000779868,0.004123138,0.9839489,0.0001165579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.006322466,0.01595617,0.08175746,0.6935421,0.03904923,0.003686167,0.005320599,0.01473066,0.1396352],"genre_scores_gemma":[0.04126347,0.03145036,0.277449,0.2866603,0.01292181,0.008223506,0.006381235,0.006434989,0.3292153],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9458828,"threshold_uncertainty_score":0.2862024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4332786548583745,"score_gpt":0.5412385098350171,"score_spread":0.1079598549766426,"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."}}