{"id":"W1480727843","doi":"10.1007/11569596_97","title":"Recovering the Lattice of Repetitive Sub-functions","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Lattice (music); Algorithm; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007650172,0.0003204856,0.0003430791,0.0003477662,0.0003092541,0.0002543447,0.002914525,0.0001754177,0.00002694744],"category_scores_gemma":[0.0000953385,0.0002272785,0.0001181068,0.0004928907,0.0005678431,0.0007105769,0.001828403,0.0006726552,0.0000366426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497467,"about_ca_system_score_gemma":0.0003331959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003480171,"about_ca_topic_score_gemma":0.00006610439,"domain_scores_codex":[0.9973661,0.00003393587,0.0004446756,0.0009937438,0.0007739114,0.00038765],"domain_scores_gemma":[0.9969993,0.000665825,0.0003313449,0.001670539,0.0002467634,0.00008627665],"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":[0.000004521044,0.00002281603,0.00001473165,0.00001671572,0.00001096152,0.00001898131,0.0004318829,0.01856098,0.0002161813,0.01949123,0.00007531782,0.9611357],"study_design_scores_gemma":[0.0003464943,0.000279906,0.0005620636,0.001072273,0.00002596666,0.0001605135,7.790082e-7,0.8714132,0.006256842,0.09225309,0.02669825,0.0009306324],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009384423,0.0004805972,0.9913078,0.0007446862,0.001497351,0.0002284432,0.00001528827,0.0000754272,0.005556538],"genre_scores_gemma":[0.08111144,0.0004398341,0.9120103,0.002272249,0.00201425,0.00002139838,0.00001971063,0.00006857674,0.002042245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.960205,"threshold_uncertainty_score":0.9268149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147314128354152,"score_gpt":0.2342191281384933,"score_spread":0.2194877153030781,"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."}}