{"id":"W4399169308","doi":"10.1109/ispce61193.2024.10541188","title":"Misquoting Jargon: The Speculation on Weird Alterations of Standard Texts and Why","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Jargon; Speculation; Computer science; Linguistics; Philosophy; Economics; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02273574,0.0007545857,0.0005391193,0.003106011,0.00672162,0.008806,0.002564635,0.003834308,0.003612339],"category_scores_gemma":[0.1200984,0.000789586,0.0005683166,0.00258247,0.0183869,0.01778473,0.005592319,0.005571441,0.0009505497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002843078,"about_ca_system_score_gemma":0.003131672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154422,"about_ca_topic_score_gemma":0.003270535,"domain_scores_codex":[0.9649371,0.02024903,0.002740336,0.002415883,0.008314811,0.001342906],"domain_scores_gemma":[0.8969244,0.05714531,0.01580874,0.01656263,0.01231583,0.001243035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002365157,0.0001486872,0.01704965,0.0005526422,0.00005291119,0.01081863,0.394998,0.001142895,0.004599378,0.4936463,0.006900008,0.06985426],"study_design_scores_gemma":[0.00009668846,0.00032608,0.01131298,0.001721592,0.000181504,0.01642713,0.3092176,0.007855239,0.03222874,0.2759932,0.3442622,0.0003770039],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7961398,0.001924951,0.1064394,0.02099588,0.001209601,0.0005213164,0.0001364434,0.0007226581,0.07191004],"genre_scores_gemma":[0.9769751,0.0003162876,0.01462023,0.0008051355,0.0001101343,0.00008540991,0.00004796415,0.0003013806,0.006738266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.991194,"threshold_uncertainty_score":0.1202396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321172089426779,"score_gpt":0.2457287236503268,"score_spread":0.2025170027560591,"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."}}