{"id":"W3004130208","doi":"10.3968/11433","title":"Analysis of Fans’ Cyberwords From the Perspective of Memetics","year":2019,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memetics; Perspective (graphical); The Internet; Sociology; Point (geometry); Linguistics; Psychology; Computer science; World Wide Web; Artificial intelligence; Mathematics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000664834,0.0002584264,0.0001771355,0.003238469,0.00130846,0.001471354,0.00017987,0.0002746657,0.002059261],"category_scores_gemma":[0.002141258,0.00005844573,0.0001341842,0.001404546,0.001775353,0.001716933,0.0006758071,0.0002863633,0.0001661053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000584005,"about_ca_system_score_gemma":0.0003589494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007975856,"about_ca_topic_score_gemma":0.001225998,"domain_scores_codex":[0.9997,0.0001385334,0.000019926,0.00003270899,0.00006517912,0.00004372749],"domain_scores_gemma":[0.9990621,0.0004621892,0.0001435413,0.00005294766,0.0001920535,0.00008710001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004087586,0.0001814684,0.1600773,0.0008930605,0.00006464196,0.004052403,0.467866,0.0006415564,0.01531788,0.1539874,0.004701419,0.1918081],"study_design_scores_gemma":[0.0000188687,0.0002342693,0.3455442,0.0003990275,0.00007460337,0.003569848,0.5236554,0.004457074,0.005538704,0.02445374,0.09199011,0.00006412974],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684346,0.0005174358,0.002467517,0.0002671573,0.00003574422,0.00003024009,0.00006643807,0.0000179033,0.02816291],"genre_scores_gemma":[0.9973512,0.0001773489,0.0007188848,0.00001981957,0.00001375547,0.00001437379,0.000038876,0.000005573573,0.001660223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003238469,"threshold_uncertainty_score":0.006888866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029339241743571,"score_gpt":0.3274998419173888,"score_spread":0.3072064494999531,"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."}}