{"id":"W7164926615","doi":"10.26855/ftair.2025.12.007","title":"A Review of the Evolution and Application Scenarios of Generative Artificial Intelligence Technology","year":2025,"lang":"","type":"article","venue":"Future Trends in AI Research","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Generative grammar; Artificial life; Applications of artificial intelligence; Feature (linguistics); Field (mathematics)","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":[0.001611159,0.0001401986,0.0003451378,0.0011582,0.0001449699,0.00005769264,0.001388132,0.0002231882,0.0000230783],"category_scores_gemma":[0.0002578085,0.0001077659,0.00006617639,0.008010659,0.00103988,0.0003026318,0.001311303,0.0007458289,0.000004877275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742157,"about_ca_system_score_gemma":0.0005497711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153516,"about_ca_topic_score_gemma":0.0003802452,"domain_scores_codex":[0.9977236,0.0003345116,0.0006994283,0.0005731507,0.0003359552,0.0003333449],"domain_scores_gemma":[0.9980407,0.0001215073,0.000174227,0.00110331,0.0005195399,0.0000407125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001225402,0.00009941225,0.0003524751,0.0009668005,0.000009133025,3.965246e-7,0.0001259526,0.000009259075,0.000189356,0.3872352,0.00132784,0.6096719],"study_design_scores_gemma":[0.0005815233,0.0009769975,0.01136222,0.03188398,0.00007025566,0.00003108892,0.00212958,0.1999682,0.03593348,0.6245006,0.0917833,0.0007788044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002317133,0.354899,0.4163046,0.2066059,0.001295677,0.002286766,0.000160495,0.00003932418,0.01609111],"genre_scores_gemma":[0.9850187,0.012429,0.001675632,0.0003365458,0.0001210788,0.0001315378,0.00001040807,0.00000564739,0.0002714565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9827015,"threshold_uncertainty_score":0.4394567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06322072632931325,"score_gpt":0.3934556787001123,"score_spread":0.3302349523707991,"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."}}