{"id":"W2995662033","doi":"10.32370/ia_2019_12_7","title":"Advertising Slang Worldwide Usage","year":2019,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slang; Advertising; Humanities; Linguistics; Art; Philosophy; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008169607,0.0001251243,0.00015594,0.0001378863,0.0002075867,0.0001621561,0.0002258302,0.00001858722,0.01426808],"category_scores_gemma":[0.002556751,0.0001136703,0.00010284,0.00002969126,0.0001598489,0.0001203469,0.0001589839,0.0001765214,0.006319954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003109183,"about_ca_system_score_gemma":0.00002328936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172274,"about_ca_topic_score_gemma":0.00208417,"domain_scores_codex":[0.9991975,0.0000441665,0.0001498276,0.0002156654,0.0001416345,0.0002511955],"domain_scores_gemma":[0.9990911,0.0003910045,0.00004344982,0.0001807437,0.0002307787,0.00006288524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001104147,0.000110685,0.005130412,0.0000772594,0.000132189,0.0000342563,0.7469022,0.00001310982,0.0001229123,0.02781308,0.2132822,0.006271219],"study_design_scores_gemma":[0.0005987023,0.0002013053,0.0006316639,0.0001454888,0.00006632647,0.000001744043,0.05323098,0.0008752326,0.0006863117,0.01691111,0.9260564,0.0005946843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991967,0.000197442,0.0004113059,0.00002062227,0.01000368,0.0001818291,0.00007672612,0.0001255532,0.3897862],"genre_scores_gemma":[0.9566102,0.00001929237,0.0001285001,0.0004694841,0.004806459,0.000001489817,0.00003028042,0.00001659264,0.03791769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7127742,"threshold_uncertainty_score":0.9944537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554353536546702,"score_gpt":0.2108394773831493,"score_spread":0.1952959420176823,"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."}}