{"id":"W4399265613","doi":"10.5539/ass.v20n3p112","title":"National Image Shaping by Chinese and Foreign Media in Reporting the Lockdown in Wuhan: A Case Study of China Daily and The New York Times","year":2024,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Image (mathematics); Political science; Media studies; Psychology; Advertising; Sociology; Business; Computer science; Artificial intelligence; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001573938,0.00005912844,0.0001226065,0.00007737768,0.0004086748,0.000352189,0.0001058598,0.00001086468,0.00005265652],"category_scores_gemma":[0.0007679664,0.00003080268,0.00002218188,0.0002702958,0.0006246133,0.0001035264,0.00006568708,0.00009718176,2.941608e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001682129,"about_ca_system_score_gemma":0.00008241308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042754,"about_ca_topic_score_gemma":0.01771882,"domain_scores_codex":[0.9991593,0.00003644335,0.0002802447,0.0001584757,0.0002562727,0.0001092863],"domain_scores_gemma":[0.9996436,0.0001249294,0.0001207252,0.00005125859,0.00003834853,0.00002112954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004616627,0.00002665012,0.001494657,0.00001091238,0.00001343826,0.0002184717,0.8939253,4.821068e-7,0.00001622787,0.09465183,0.0003559087,0.009281471],"study_design_scores_gemma":[0.001082073,0.00005517021,0.02240849,0.00008652311,0.0000755803,0.00009264146,0.9006151,0.007046752,0.000006729384,0.06750324,0.0007770401,0.0002506307],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775057,0.001015071,0.000005518064,0.0007831095,0.00006269078,0.0001498548,0.000005683581,0.000008041827,0.1204643],"genre_scores_gemma":[0.9994554,0.000003104082,0.00001103876,0.00004848848,0.0002939358,0.000004549887,7.574083e-7,0.000003185306,0.0001795243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219497,"threshold_uncertainty_score":0.9961621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351982152889966,"score_gpt":0.292984737042982,"score_spread":0.2694649155140824,"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."}}