{"id":"W4410863990","doi":"10.1007/978-3-031-84756-1_11","title":"Generative AI","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on games and computational intelligence","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Sudbury; University of Alberta","funders":"","keywords":"Generative grammar; Artificial intelligence; Computer 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002635959,0.0006672488,0.0006500195,0.0004295799,0.0002686017,0.0004541701,0.001189627,0.0003361539,0.000221145],"category_scores_gemma":[0.0002125722,0.0005957558,0.0002689886,0.0001466564,0.0002830647,0.0001471701,0.0005535161,0.0006389153,0.00009716676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505186,"about_ca_system_score_gemma":0.0003380239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001425863,"about_ca_topic_score_gemma":0.00001302049,"domain_scores_codex":[0.996921,0.0001033403,0.0005903149,0.001373359,0.0006578243,0.0003541452],"domain_scores_gemma":[0.9957243,0.0027983,0.0002407434,0.0006776171,0.0004041117,0.0001549519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001002916,0.00003010783,0.000001599932,0.00003407903,0.0000919889,0.00001576941,0.0001145808,0.03180106,0.000001103213,0.5762517,0.00202148,0.3896265],"study_design_scores_gemma":[0.00003443407,0.0001503462,0.00005641543,0.0002607316,0.0000330913,0.00002889547,0.000004591899,0.2105795,0.0005540795,0.7610139,0.02669274,0.0005912892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00000515975,0.001911438,0.8946348,0.003958919,0.0004913013,0.0003628524,0.00004514643,0.0002059984,0.0983844],"genre_scores_gemma":[0.1505414,0.002192378,0.5108535,0.03590083,0.001804229,0.0003691443,0.0001280003,0.0002488748,0.2979617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3890352,"threshold_uncertainty_score":0.9996494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941797278799453,"score_gpt":0.2660577708766524,"score_spread":0.2466397980886579,"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."}}