{"id":"W2583787480","doi":"","title":"Introduction to a facsimile edition of Smith, Lorenzo N., Lingo of No Mans Land : A World War 1 Slang Dictionary.","year":2014,"lang":"en","type":"book-chapter","venue":"Leicester Research Archive (University of Leicester)","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facsimile; Slang; History; Linguistics; Classics; Art history; Library science; Cartography; Art; Geography; Computer science; Philosophy; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006203055,0.0002897754,0.0006539074,0.00158578,0.0004198738,0.00005462604,0.0008073978,0.0001281834,0.002492671],"category_scores_gemma":[0.000367248,0.0003329943,0.000289498,0.0000821787,0.001149716,0.0003263948,0.0007006167,0.0006776765,0.0003068779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009673747,"about_ca_system_score_gemma":0.000118325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004473493,"about_ca_topic_score_gemma":0.01888344,"domain_scores_codex":[0.9975274,0.0001761016,0.0003900832,0.000559648,0.0009656949,0.0003810713],"domain_scores_gemma":[0.9953154,0.0002970016,0.0005348728,0.0006346014,0.003037805,0.0001802959],"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":[0.003545013,0.0007990842,0.01170337,0.009481003,0.001821266,0.000167761,0.3213376,0.00007648322,0.0004146925,0.06899954,0.5771991,0.004455085],"study_design_scores_gemma":[0.001025048,0.001141874,0.0019147,0.001482467,0.0002881474,0.000001474387,0.009449103,0.0001375179,0.00005664021,0.005966528,0.9779904,0.0005461265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08803216,0.000839641,0.004768035,0.001257375,0.01224985,0.003437362,0.007597086,0.0002341177,0.8815844],"genre_scores_gemma":[0.1141537,0.0006466178,0.001967735,0.0001054004,0.03552753,0.000004289333,0.001558423,0.0001427926,0.8458935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4007913,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04055593660390108,"score_gpt":0.2425387165896961,"score_spread":0.2019827799857951,"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."}}