{"id":"W4411327907","doi":"10.1007/978-3-031-86551-0_14","title":"Disrupting Scholarly Writing Creatively Using Large Language Models","year":2025,"lang":"en","type":"book-chapter","venue":"Springer series on cultural computing","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Linguistics; Philosophy","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007013673,0.0004874777,0.0005693785,0.0001486504,0.0009347402,0.001499424,0.0004837919,0.0003652101,0.00007642232],"category_scores_gemma":[0.0003558151,0.0004581122,0.00030047,0.0001232418,0.0002314225,0.001920405,0.0004607282,0.0009141028,0.00003078726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704312,"about_ca_system_score_gemma":0.0002116565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872801,"about_ca_topic_score_gemma":0.0002781317,"domain_scores_codex":[0.9972693,0.00006700485,0.0005236554,0.000647489,0.0007025153,0.0007899803],"domain_scores_gemma":[0.9985956,0.0001837769,0.0004038433,0.000259364,0.00035372,0.0002037101],"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":[0.00002854934,0.00002196659,0.00006672903,0.0001512426,0.0001256104,0.00008710392,0.03225892,0.000246924,0.00009773025,0.8756551,0.0001803744,0.09107976],"study_design_scores_gemma":[0.0006820944,0.0001412862,0.00008013345,0.008566969,0.0001949212,0.00001265812,0.05889618,0.002860445,0.0001211639,0.004469182,0.9218011,0.002173837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01578291,0.001029625,0.0003287424,0.0002031544,0.0006950445,0.0003602783,0.0000581698,0.0003531256,0.981189],"genre_scores_gemma":[0.1988347,0.0001514715,0.003996726,0.0004044352,0.001645777,0.000002667048,0.00004726322,0.00007335369,0.7948436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9216208,"threshold_uncertainty_score":0.999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04672205415517929,"score_gpt":0.3248647722765393,"score_spread":0.27814271812136,"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."}}