{"id":"W4401172790","doi":"10.18357/kula.287","title":"Generative AI for Academic Publishing? Some Thoughts About Epistemic Diversity and the Pursuit of Truth","year":2024,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Publishing; Diversity (politics); Epistemology; Sociology; Hoax; Generative model; Psychology; Philosophy; Political science; Law; Anthropology; Linguistics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"theoretical_or_conceptual","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":["scholarly_communication"],"category_scores_codex":[0.003435154,0.0001284899,0.0002010705,0.0002474503,0.0008165383,0.002217629,0.0007358353,0.00006406427,0.000001507344],"category_scores_gemma":[0.005404081,0.00008902694,0.00004193125,0.0004970721,0.0002784364,0.02409323,0.002036775,0.000170489,0.000001050873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004758015,"about_ca_system_score_gemma":0.00003288579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001017102,"about_ca_topic_score_gemma":0.00001507825,"domain_scores_codex":[0.9984323,0.0002904338,0.000313796,0.0004031991,0.0004159389,0.0001443002],"domain_scores_gemma":[0.99436,0.004465982,0.0001733988,0.0002650526,0.0006914451,0.0000441495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004167828,0.00001765118,0.0009558607,0.0004290355,0.0001512426,3.124286e-7,0.02905452,0.000004814638,0.0000925421,0.9413638,0.01247792,0.01541064],"study_design_scores_gemma":[0.002896985,0.0001587738,0.071327,0.001034649,0.000338542,0.000006994595,0.005943695,0.3065311,0.003581214,0.3633561,0.2442608,0.0005640823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06955701,0.1268325,0.5911986,0.1970083,0.001511398,0.003536022,0.0001202903,0.0003787479,0.009857148],"genre_scores_gemma":[0.9409627,0.02233511,0.001504485,0.0002466513,0.0003691103,0.0003490136,0.00009684298,0.00001196839,0.03412417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8714057,"threshold_uncertainty_score":0.9988182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401047147406927,"score_gpt":0.4347272221841704,"score_spread":0.2946225074434777,"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."}}