{"id":"W3035955949","doi":"10.1177/2056305120933285","title":"LINE as Super App: Platformization in East Asia","year":2020,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Digital Games and Media","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"CONTEST; East Asia; China; Hegemony; Media studies; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001832871,0.0004963462,0.000186606,0.001498055,0.004710252,0.008504613,0.0005245798,0.0006699999,0.004781283],"category_scores_gemma":[0.002090428,0.000287577,0.0002585908,0.001861293,0.006539404,0.01071933,0.006914769,0.001908619,0.0006995769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516681,"about_ca_system_score_gemma":0.002083107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004512801,"about_ca_topic_score_gemma":0.006163504,"domain_scores_codex":[0.9991866,0.0003168499,0.00004772694,0.0001006052,0.0001401455,0.0002080534],"domain_scores_gemma":[0.9981742,0.0007090602,0.0002919712,0.0002475039,0.0003185165,0.000258644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001156509,0.00004230586,0.01225219,0.0002216381,0.0000163458,0.003158602,0.8372576,0.0001604801,0.003199425,0.1064942,0.001673787,0.0354078],"study_design_scores_gemma":[0.00001310519,0.0001104415,0.01937565,0.0003967351,0.0000420672,0.001068091,0.8254383,0.0006870394,0.003977618,0.009053776,0.1397966,0.00004049818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7656659,0.001010613,0.003582472,0.002350429,0.0001128333,0.00006108123,0.00007930201,0.00006400135,0.2270734],"genre_scores_gemma":[0.9878348,0.0006780458,0.0008781824,0.0003281174,0.00001877374,0.00002791795,0.00003354204,0.00005735787,0.01014339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008504613,"threshold_uncertainty_score":0.01825994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920416862107275,"score_gpt":0.2887473858480452,"score_spread":0.2495432172269724,"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."}}