{"id":"W4403791018","doi":"10.1145/3664647.3689702","title":"An Innovative Industry Program in A New Era of Multimedia with Generative AI","year":2024,"lang":"en","type":"article","venue":"","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Multimedia; Generative grammar; Computer science; Artificial intelligence","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":[0.0001027746,0.0001199631,0.0001383643,0.0004759732,0.00003277539,0.0001145355,0.0001442715,0.0001843564,0.000248115],"category_scores_gemma":[0.00002722407,0.00008946409,0.00001240453,0.003943733,0.0001276515,0.001022027,0.00005004967,0.000708365,0.00003667204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411005,"about_ca_system_score_gemma":0.0001167937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440467,"about_ca_topic_score_gemma":0.001606625,"domain_scores_codex":[0.9993136,0.000003595494,0.0002188713,0.0002053956,0.0001000892,0.000158471],"domain_scores_gemma":[0.9995407,0.00001504313,0.00005719567,0.0001605611,0.000220943,0.000005486208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000260706,0.0004673052,0.1923695,0.0000890243,0.0001022017,0.00004419955,0.0005321921,0.00003074473,0.001618358,0.4715667,0.01388178,0.3192719],"study_design_scores_gemma":[0.008571264,0.001331359,0.4072988,0.00257356,0.0002943887,0.00002381697,0.02024235,0.2010229,0.02886139,0.06215955,0.2642659,0.003354715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659686,0.00002909834,0.001521403,0.0174626,0.0000875953,0.0004554737,0.000002093812,0.0005038177,0.01396932],"genre_scores_gemma":[0.9875237,7.805447e-7,0.009103481,0.002659623,0.0002393678,0.00004991295,0.00005454928,0.00001710054,0.0003514283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4094071,"threshold_uncertainty_score":0.364824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146675117591417,"score_gpt":0.2949956135304128,"score_spread":0.2735288623544986,"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."}}