{"id":"W4383164035","doi":"10.1016/j.msard.2023.104873","title":"Is using ChatGPT to help write papers and grants is useful, and ethical?","year":2023,"lang":"en","type":"editorial","venue":"Multiple Sclerosis and Related Disorders","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Spelling; Chatbot; Entertainment; Style (visual arts); Loneliness; Computer science; Singing; Grammar; Artificial intelligence; Psychology; Linguistics; Visual arts; Management; Social psychology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004471426,0.000372635,0.0005762764,0.0002122878,0.0004745032,0.0001018087,0.00007254159,0.002107494,0.00006820331],"category_scores_gemma":[0.001401828,0.0003325211,0.00009954593,0.0004123148,0.0002591467,0.00005840074,0.0001016929,0.001711863,0.00003537325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006742343,"about_ca_system_score_gemma":0.0001631219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005902705,"about_ca_topic_score_gemma":0.0007150081,"domain_scores_codex":[0.9975411,0.00007419439,0.0006031377,0.0008206989,0.0004753394,0.0004854768],"domain_scores_gemma":[0.9980107,0.0008923358,0.0001513287,0.0002875446,0.000186645,0.0004714667],"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":[0.0004278848,0.0001253221,0.02390032,0.001093557,0.0003667178,0.000006497101,0.02686129,0.0000133364,0.001398179,0.000006363355,0.7415507,0.2042498],"study_design_scores_gemma":[0.002288455,0.001452639,0.03847316,0.01164066,0.001340016,0.00001172911,0.01687638,0.007004831,0.000804771,0.0008421144,0.9170521,0.002213179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6037182,0.005223854,0.00001124849,0.02231942,0.3670699,0.001198069,0.0002066749,0.0001532627,0.00009944808],"genre_scores_gemma":[0.7350118,0.1659405,0.0003125669,0.003665204,0.09310895,0.000107918,0.000381051,0.0002923613,0.00117974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739609,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128534209597201,"score_gpt":0.3713862844769876,"score_spread":0.2428520748797866,"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."}}