{"id":"W4412604194","doi":"10.36227/techrxiv.175329122.29020847/v1","title":"A Survey of Next-Generation AI and Its Evolving Landscape","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Pakistan Institute of Engineering and Applied Sciences","keywords":"Geography; Computer science; Environmental resource management; Environmental science","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":[0.0007851154,0.0001093085,0.0001727779,0.0001358404,0.00004944956,0.0002489141,0.0004571518,0.000118123,0.00002210639],"category_scores_gemma":[0.0004110013,0.00009856013,0.00002184491,0.0001729004,0.000007305958,0.0002245616,0.0008593028,0.0002468391,0.000004312576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009749676,"about_ca_system_score_gemma":0.0001614206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00076619,"about_ca_topic_score_gemma":0.0003439162,"domain_scores_codex":[0.9988933,0.0002291986,0.0002338129,0.0004138912,0.0001445192,0.00008525146],"domain_scores_gemma":[0.9989433,0.0001144682,0.0001454605,0.0005241178,0.0002396749,0.00003294944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001866636,0.0002594436,0.209657,0.001672991,0.0001867696,0.000003149511,0.001795898,0.007696573,0.005765819,0.1667453,0.05585863,0.5503398],"study_design_scores_gemma":[0.00005686435,0.000009337075,0.1257818,0.00003704905,0.00000420998,4.054643e-7,0.000001481592,0.8735328,0.0001868373,0.000111704,0.0001929645,0.00008447428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01487004,0.002251816,0.972789,0.00179964,0.0005586647,0.0002241413,0.00005872048,0.0001605921,0.007287381],"genre_scores_gemma":[0.990085,0.0001367591,0.007942626,0.0001305262,0.00003650126,0.0000090064,0.0003505381,0.000002864564,0.001306188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.975215,"threshold_uncertainty_score":0.4019165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08207158762354864,"score_gpt":0.3131633827031589,"score_spread":0.2310917950796102,"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."}}