{"id":"W4404044359","doi":"10.1080/08989621.2024.2420812","title":"Allowing AI co–authors is a disregard for humanization","year":2024,"lang":"en","type":"article","venue":"Accountability in Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Engineering ethics; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","research_integrity"],"domain":"evaluation","study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","scholarly_communication","research_integrity"],"domain":"methods","study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01803063,0.00008045858,0.0001402358,0.0002195334,0.0009926517,0.001229331,0.0003809356,0.0002887353,0.0003732597],"category_scores_gemma":[0.006119967,0.00008003879,0.0000873797,0.0009563943,0.0006342429,0.0009314907,0.00006906225,0.0008262699,0.00007134994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006300006,"about_ca_system_score_gemma":0.0009495543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01958681,"about_ca_topic_score_gemma":0.02366403,"domain_scores_codex":[0.9970919,0.0005325711,0.0002376293,0.0003729165,0.001114712,0.0006502721],"domain_scores_gemma":[0.996613,0.002204735,0.00001359593,0.0002163799,0.000825228,0.0001271167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007898451,0.0002471877,0.04709544,0.0004536104,0.00004584519,0.000009277869,0.4106577,0.000008604331,0.0003141094,0.4551799,0.07016202,0.01574738],"study_design_scores_gemma":[0.0002586223,0.0001318827,0.008824402,0.0001914914,0.000008631616,1.57081e-7,0.04729299,0.001032856,0.000185381,0.4581397,0.48366,0.0002738968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423279,0.0003299903,0.0002125544,0.1161516,0.0006338167,0.001503305,0.00005266516,0.0001444074,0.0386438],"genre_scores_gemma":[0.9967706,0.0001361802,0.00006350981,0.0007088697,0.000405509,0.00008575057,0.00001217246,0.00001754557,0.001799829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.413498,"threshold_uncertainty_score":0.9998075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4544497266217594,"score_gpt":0.6545098781449135,"score_spread":0.200060151523154,"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."}}