{"id":"W4403305132","doi":"10.1017/9781009302180.020","title":"Key Concepts Summary: Recursion","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Key (lock); Recursion (computer science); Computer science; Programming language; Computer security","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":[0.0006448145,0.001697632,0.0009721919,0.00137563,0.001121515,0.005360707,0.001762616,0.001614723,0.2087501],"category_scores_gemma":[0.003875674,0.0006401596,0.001087687,0.001561882,0.001406132,0.006196307,0.001858146,0.003537229,0.1734396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002272487,"about_ca_system_score_gemma":0.001933916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715933,"about_ca_topic_score_gemma":0.001820486,"domain_scores_codex":[0.9992012,0.0000978668,0.00006153962,0.0002227412,0.0003566195,0.00005991722],"domain_scores_gemma":[0.9990645,0.0002433692,0.00004101282,0.0001270105,0.0004519961,0.00007216629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003492179,0.00003262524,0.00006929513,0.0005752901,0.000006344071,0.00006086966,0.0003353315,0.0009142736,0.0008065928,0.1914705,0.614998,0.190696],"study_design_scores_gemma":[0.000003963043,0.00001146874,0.00007120873,0.0001666636,0.000003058062,0.00009662504,0.00003974248,0.0003599535,0.0002298085,0.03954734,0.959462,0.00000811498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001288238,0.01644026,0.2011654,0.01101343,0.01017131,0.0006846648,0.004518361,0.007458188,0.7472602],"genre_scores_gemma":[0.01191264,0.009788552,0.09007628,0.005198051,0.002821943,0.0006748142,0.004597607,0.004044386,0.8708856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2087501,"threshold_uncertainty_score":0.6983387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015312802146373,"score_gpt":0.2286983752167385,"score_spread":0.2085452471952748,"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."}}