{"id":"W4403915104","doi":"10.23977/jaip.2024.070322","title":"Innovation and development strategy of interactive entertainment industry driven by artificial intelligence","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entertainment; Knowledge management; Computer science; Business; Artificial intelligence; Engineering; Engineering management; Manufacturing engineering; Art; Visual arts","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":[0.001218612,0.000198946,0.0002663044,0.0009759939,0.0001427398,0.0003884057,0.0002965964,0.0002263814,0.0001783432],"category_scores_gemma":[0.001153958,0.0001819994,0.00004903611,0.001574942,0.0002276135,0.002977814,0.0001418218,0.00112348,0.00008329747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009047354,"about_ca_system_score_gemma":0.000160947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090429,"about_ca_topic_score_gemma":0.00003415911,"domain_scores_codex":[0.9976004,0.00003089226,0.001517663,0.0002359638,0.0003925915,0.0002225417],"domain_scores_gemma":[0.9972025,0.0003721441,0.001125491,0.0001419332,0.001140622,0.00001731924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002192432,0.0004877481,0.0002879014,0.000102461,0.000238312,0.00005541516,0.0007993829,0.0003347757,0.009682671,0.3178685,0.0008407062,0.6690829],"study_design_scores_gemma":[0.0001417698,0.0006528108,0.0004656193,0.001758886,0.0006417023,0.0003720581,0.1331437,0.02172188,0.4731832,0.2416352,0.1249801,0.00130315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159503,0.0003940775,0.1631179,0.01608884,0.001388135,0.0003465341,0.000006463895,0.00008203974,0.002625693],"genre_scores_gemma":[0.9957733,0.00004646098,0.003105337,0.0006597901,0.0003493628,0.000007338334,0.00001032245,0.00001959991,0.00002851338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6677797,"threshold_uncertainty_score":0.7421721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06889303183124894,"score_gpt":0.3421010197841749,"score_spread":0.2732079879529259,"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."}}