{"id":"W2954489374","doi":"10.1007/978-3-030-18873-3_16","title":"Solutions to the Recursion Exercises","year":2019,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Recursion (computer science); Computer science; Mathematics; Calculus (dental); Medicine; Algorithm; Orthodontics","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":[0.001965723,0.001156836,0.0009577615,0.001009849,0.00303906,0.004203549,0.002529662,0.00367235,0.06222582],"category_scores_gemma":[0.01386012,0.0008157716,0.001400228,0.001452337,0.005696274,0.01108996,0.006089727,0.007375681,0.01314375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00219886,"about_ca_system_score_gemma":0.00167574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666424,"about_ca_topic_score_gemma":0.002231202,"domain_scores_codex":[0.9982713,0.0007038369,0.00009578021,0.0003643496,0.0003638724,0.0002007545],"domain_scores_gemma":[0.9968401,0.00197712,0.00008320803,0.0006210166,0.0003641639,0.0001143238],"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":[0.000008167265,0.00001040181,0.00002449344,0.00002272017,0.000001915497,0.00002061872,0.0001893692,0.0002951757,0.00004827668,0.9791589,0.009872308,0.01034755],"study_design_scores_gemma":[0.000007859091,0.000002458206,0.00001714559,0.00003488004,0.000002116488,0.00002762316,0.00008244866,0.001497811,0.00009664833,0.9540483,0.04417783,0.000004868572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007053049,0.003962731,0.3850159,0.02196195,0.002062211,0.00007991972,0.0003290562,0.0008207046,0.5787145],"genre_scores_gemma":[0.2667082,0.005336214,0.3215584,0.005440284,0.002338723,0.0005058778,0.001077154,0.001673408,0.3953617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06222582,"threshold_uncertainty_score":0.2081661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243725426184691,"score_gpt":0.3183926133400571,"score_spread":0.2759553590782102,"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."}}