{"id":"W1168124290","doi":"10.1007/978-3-319-20028-6_4","title":"A New Approach to the Paperfolding Sequences","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"semigroups and automata theory","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environmental Studies Association of Canada; Queen's University; University of Waterloo","funders":"","keywords":"Computer science; Computation; Function (biology); Algorithm; Theoretical computer science; Artificial intelligence","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.002060259,0.0004817966,0.0004331511,0.0004619299,0.0003297915,0.001022188,0.007324478,0.0002116517,0.00002614063],"category_scores_gemma":[0.0001189323,0.0003200878,0.000111321,0.0009016005,0.0003452304,0.0005609834,0.002244037,0.0006708578,0.0002061916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686585,"about_ca_system_score_gemma":0.001029767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006467404,"about_ca_topic_score_gemma":0.00003109449,"domain_scores_codex":[0.9960465,0.00004975296,0.000390912,0.001566547,0.001261111,0.0006851609],"domain_scores_gemma":[0.9970161,0.0003683971,0.000177386,0.001931883,0.0001563073,0.0003499075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002330693,0.000009839525,0.00000433067,0.00001047929,0.000007709024,0.00001951448,0.001870835,0.03955223,0.00005330675,0.1339614,0.001079716,0.8234283],"study_design_scores_gemma":[0.0001822113,0.0001212493,0.00002331088,0.0002792921,0.000009304187,0.0001845698,0.000001109875,0.4846084,0.0003146906,0.476756,0.03668254,0.0008373784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001318446,0.000858473,0.970459,0.002303409,0.00163258,0.000397096,0.00000223526,0.0001974009,0.02413658],"genre_scores_gemma":[0.04201157,0.00002528532,0.9484899,0.005324088,0.001491851,0.00001591525,0.000003036934,0.000042235,0.002596134],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8225909,"threshold_uncertainty_score":0.9999251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03616012033275176,"score_gpt":0.2546279072561813,"score_spread":0.2184677869234296,"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."}}