{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007356219,0.0001434794,0.0003251576,0.001220322,0.0005449713,0.003217079,0.001160172,0.0001719761,0.0004526822],"category_scores_gemma":[0.004906985,0.0001125028,0.00003504243,0.002516711,0.0002455582,0.007820033,0.0004239159,0.0008212224,0.00006004163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352596,"about_ca_system_score_gemma":0.0008514292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007787342,"about_ca_topic_score_gemma":0.0005682713,"domain_scores_codex":[0.9969254,0.0001981658,0.0008428054,0.0003956816,0.001252613,0.0003853378],"domain_scores_gemma":[0.9978772,0.0003760166,0.0003288735,0.0002015535,0.0003171253,0.000899189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001012866,0.0002343948,0.338977,0.00005052497,0.00002288113,0.00004114846,0.005555188,0.00001883386,0.0001520964,0.008457405,0.01087188,0.6355174],"study_design_scores_gemma":[0.00045896,0.001133966,0.9265208,0.001874161,0.00002763628,0.0002219345,0.005127703,0.001020513,0.000340488,0.007817682,0.05521794,0.000238192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5954641,0.0002689667,0.0001087102,0.4022627,0.0004990154,0.0004029113,0.000002844324,0.000014522,0.0009762648],"genre_scores_gemma":[0.9894887,0.003500144,0.001055052,0.004947274,0.0003532563,0.00005005466,0.000009455489,0.00001336717,0.0005827441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6352792,"threshold_uncertainty_score":0.9978177,"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."}}