{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003135635,0.000765393,0.0008866776,0.008322434,0.00073971,0.002790932,0.0008754719,0.001460186,0.002863902],"category_scores_gemma":[0.00817724,0.000456856,0.001017522,0.00966106,0.001662662,0.004275957,0.0008922704,0.001634842,0.000861356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002302368,"about_ca_system_score_gemma":0.005882471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003539586,"about_ca_topic_score_gemma":0.005975677,"domain_scores_codex":[0.9979875,0.0006784547,0.0004167098,0.0002583502,0.00057607,0.00008282676],"domain_scores_gemma":[0.9898317,0.008043874,0.0005622659,0.0002527387,0.001178642,0.0001307491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005173782,0.00007401559,0.001925371,0.0672133,0.0002301153,0.0005111091,0.002041349,0.001989581,0.001544155,0.1216131,0.0319544,0.7708518],"study_design_scores_gemma":[0.000008473533,0.00009927214,0.003269567,0.04416621,0.0002608662,0.001236579,0.001158029,0.0009043961,0.000819571,0.02932943,0.918677,0.00007066184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008791021,0.9867733,0.003183112,0.002697007,0.000369017,0.00003550286,0.00008909855,0.00002638356,0.005947486],"genre_scores_gemma":[0.00725118,0.9876006,0.002958398,0.001030216,0.0002659413,0.00004967776,0.000088241,0.00001154825,0.0007441612],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008322434,"threshold_uncertainty_score":0.01670492,"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."}}