{"id":"W2219484242","doi":"10.1080/22041451.2015.1079150","title":"Digital convergence of Korea’s webtoons: transmedia storytelling","year":2015,"lang":"en","type":"article","venue":"Communication Research and Practice","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Korean Wave; Convergence (economics); Storytelling; Technological convergence; Digital era; Popular culture; Comics; Digital media; Advertising; Comic strip; Media studies; Sociology; The Internet; Multimedia; Political science; Narrative; Engineering; Computer science; Business; Art; World Wide Web; Telecommunications; Literature; Economics; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.0011643,0.0003348342,0.0001213741,0.001219273,0.002262535,0.004820107,0.0004055504,0.0004361319,0.007806989],"category_scores_gemma":[0.001908959,0.0001769499,0.000218669,0.001421513,0.001879508,0.005944013,0.002825055,0.00106043,0.0006772998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011763,"about_ca_system_score_gemma":0.001168839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001878569,"about_ca_topic_score_gemma":0.005998049,"domain_scores_codex":[0.9994783,0.000217443,0.00003154495,0.00008443606,0.00007465932,0.0001135732],"domain_scores_gemma":[0.9983649,0.000606929,0.0003188028,0.0001741202,0.0002333226,0.0003020346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003268581,0.0003040804,0.09288439,0.0007397883,0.00005177458,0.004147291,0.5252681,0.0002678332,0.007452284,0.1005593,0.01090729,0.257091],"study_design_scores_gemma":[0.00001806358,0.0002361344,0.06622288,0.0004233164,0.00006125505,0.002050051,0.7151417,0.0007365557,0.005008535,0.005958871,0.2040823,0.00006036344],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854359,0.0006363189,0.001634462,0.001176203,0.00008817668,0.00005662315,0.0001077681,0.00003556702,0.1108291],"genre_scores_gemma":[0.988901,0.0004696544,0.0008975491,0.0001977376,0.00001665336,0.00002151926,0.00006914637,0.00002874694,0.009397967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007806989,"threshold_uncertainty_score":0.02611697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4028972880997707,"score_gpt":0.5033655015770491,"score_spread":0.1004682134772784,"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."}}