{"id":"W3017322388","doi":"10.1007/978-3-642-13122-6_33","title":"The Feline Josephus Problem","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Fibonacci number; Element (criminal law); Sequence (biology); Value (mathematics); Position (finance); Order (exchange); Combinatorics; Constant (computer programming); Arithmetic; Mathematics; Computer science; Discrete mathematics; Statistics","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"],"consensus_categories":[],"category_scores_codex":[0.001244731,0.0004934215,0.0005194314,0.0002041942,0.0004918985,0.0002819484,0.002076814,0.0004124444,0.00002332181],"category_scores_gemma":[0.0009529848,0.000330776,0.0001253317,0.0002555115,0.001064634,0.0001417994,0.0007865598,0.001637092,0.00004566994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911876,"about_ca_system_score_gemma":0.0003294448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002262346,"about_ca_topic_score_gemma":0.0001091009,"domain_scores_codex":[0.9970019,0.00002185667,0.0006585389,0.0007342559,0.000981526,0.0006018691],"domain_scores_gemma":[0.9947443,0.002809407,0.000470275,0.001526259,0.0003285327,0.0001212133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008653648,0.00004481192,0.000001891217,0.0001136029,0.00001515386,0.00003050422,0.0005669991,0.0004312268,0.0003175254,0.7789405,0.00005832749,0.2194708],"study_design_scores_gemma":[0.0001812714,0.00007494283,7.437544e-7,0.0002719313,0.00001476798,0.00004082647,1.537617e-7,0.005549715,0.001293025,0.9822219,0.009967885,0.0003828249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006950997,0.0001890777,0.9874261,0.0006883068,0.003112895,0.0007149943,0.000003527966,0.0001538496,0.007641725],"genre_scores_gemma":[0.007137409,0.00005293245,0.9886684,0.000280293,0.001462237,0.00002613762,0.000001894982,0.0001167429,0.002253931],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.219088,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437964981897221,"score_gpt":0.2896866901669337,"score_spread":0.2653070403479615,"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."}}