{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008699551,0.0002677843,0.0002758833,0.0004343032,0.0003026651,0.0001335631,0.00243006,0.0002660418,0.001303379],"category_scores_gemma":[0.00002820646,0.0002047222,0.00007938205,0.0003088696,0.0006563563,0.0001431283,0.0009898968,0.000612859,0.006258748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856355,"about_ca_system_score_gemma":0.0002902235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011142,"about_ca_topic_score_gemma":0.0001175814,"domain_scores_codex":[0.9974577,0.00002932031,0.0003391366,0.0009634618,0.0005870283,0.0006233705],"domain_scores_gemma":[0.9978005,0.0002014589,0.0001108983,0.001663725,0.000105409,0.0001180222],"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":[0.00002234242,0.00005867666,0.00004336494,0.000009313393,0.000007993875,0.00004744152,0.01615288,0.0009682584,0.00001674127,0.5149561,0.09101648,0.3767004],"study_design_scores_gemma":[0.0003067958,0.0005242221,0.002195925,0.0005276297,0.0000145989,0.0001093471,0.00006855896,0.004056859,0.00002283803,0.02238921,0.9688268,0.0009572455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001335966,0.0007223691,0.06204987,0.003595105,0.01952584,0.001373131,0.00001755482,0.0001656779,0.9112145],"genre_scores_gemma":[0.1233877,0.0000673055,0.01602119,0.006845747,0.001471204,0.0001086108,0.000005578848,0.00009368995,0.851999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8778103,"threshold_uncertainty_score":0.9996096,"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."}}