{"id":"W7113906228","doi":"10.1007/978-3-031-99804-1_2","title":"A Brief Overview of Foundations and Advances in Programming with AI","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Applications of artificial intelligence; Computer programming; Expert system; Automated planning and scheduling","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":[0.0004863655,0.0008491963,0.0005604198,0.002299366,0.0008929555,0.003513835,0.001089579,0.00110526,0.03754935],"category_scores_gemma":[0.00111039,0.0005027067,0.000517028,0.005145785,0.001294977,0.005422405,0.00121656,0.003153876,0.01772814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250189,"about_ca_system_score_gemma":0.001229511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238151,"about_ca_topic_score_gemma":0.002190216,"domain_scores_codex":[0.9996294,0.00007247428,0.00002560375,0.00006659538,0.0001684836,0.00003736738],"domain_scores_gemma":[0.9995258,0.000311486,0.0000199136,0.00003979464,0.00007390006,0.00002917036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001891541,0.00004865338,0.0001014367,0.001085807,0.000009129736,0.00006470722,0.000196809,0.0008923615,0.0009252763,0.6113173,0.1260924,0.2592472],"study_design_scores_gemma":[0.000001813749,0.00001063944,0.0001116698,0.0002780449,0.000003286471,0.0001735759,0.0000420022,0.0006777504,0.0001950958,0.152541,0.8459577,0.000007527586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.00113307,0.2842219,0.1058801,0.007026123,0.00307461,0.0001159045,0.0007475358,0.000980727,0.59682],"genre_scores_gemma":[0.02596318,0.4110569,0.1520469,0.005634235,0.006542487,0.000390824,0.001841604,0.0008713808,0.3956524],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03754935,"threshold_uncertainty_score":0.1256151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622465412078163,"score_gpt":0.2944704828003149,"score_spread":0.2682458286795333,"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."}}