{"id":"W4414117515","doi":"10.1017/9781108950855.011","title":"Memes and Advertising","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reuse; Grammar; Subject (documents); Online advertising; Meaning (existential); Advertising campaign","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":[],"consensus_categories":[],"category_scores_codex":[0.0000490748,0.0001781227,0.0001897072,0.0001438768,0.000134014,0.000146087,0.001013409,0.0001282706,0.000001098512],"category_scores_gemma":[0.000006786884,0.000209562,0.00007648984,0.000008329839,0.000106843,0.0001997819,0.001486591,0.0002157539,0.000004123091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005403577,"about_ca_system_score_gemma":0.0000670917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003906089,"about_ca_topic_score_gemma":0.000001780081,"domain_scores_codex":[0.9993024,0.00002074958,0.00009912071,0.0003220067,0.0001274996,0.0001281889],"domain_scores_gemma":[0.998881,0.00006671269,0.00008429272,0.0008186566,0.00006252374,0.00008684023],"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":[0.00000389336,0.000002033649,3.147172e-7,0.00002845455,0.0000302402,0.00005329462,0.0000306802,1.175316e-7,0.00000457445,0.9699581,0.009380457,0.0205078],"study_design_scores_gemma":[0.0001698599,0.00001210105,0.000009454637,0.0001416197,0.00002530126,0.000007289305,0.00000873398,0.0001932363,0.00007332277,0.00004790979,0.9991022,0.0002090174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006009211,0.000574428,0.00669103,0.00005276544,0.00005711882,0.0001264067,0.00002508833,0.0001854769,0.9922817],"genre_scores_gemma":[0.001128118,0.0001253968,0.0009632004,0.0002057727,0.000008325622,1.567543e-7,0.000007889602,0.000007902112,0.9975532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9897217,"threshold_uncertainty_score":0.854569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478994201335413,"score_gpt":0.199294132082502,"score_spread":0.1845041900691479,"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."}}