{"id":"W1751962440","doi":"10.1007/978-3-540-87361-7_7","title":"NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Carleton University","funders":"","keywords":"Polynomial-time approximation scheme; Sequence (biology); Time complexity; Tree (set theory); Set (abstract data type); Mathematics; Combinatorics; Nap; Scheme (mathematics); Phylogenetic tree; Taxon; Extinction (optical mineralogy); Computer science; Discrete mathematics; Mathematical optimization; Ecology; Physics; Biology","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":[0.001848767,0.001556349,0.002333754,0.001091823,0.001915934,0.003577369,0.004443779,0.002657483,0.0237632],"category_scores_gemma":[0.0061492,0.0008130423,0.002065661,0.002345594,0.001657904,0.008723647,0.00520116,0.006869869,0.005571954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312086,"about_ca_system_score_gemma":0.003065181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004990664,"about_ca_topic_score_gemma":0.005208278,"domain_scores_codex":[0.998562,0.0002644194,0.00007871345,0.0003804155,0.0004246874,0.0002897904],"domain_scores_gemma":[0.9981369,0.0008929594,0.00007917205,0.0005774599,0.000179023,0.0001344289],"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":[0.001429706,0.0004081638,0.000643799,0.000638976,0.0001178367,0.000125747,0.0003432994,0.0984816,0.004297248,0.406205,0.1224985,0.3648101],"study_design_scores_gemma":[0.0003895529,0.0001106909,0.0003020569,0.00007617687,0.00005819039,0.0001555611,0.0001276393,0.4159813,0.002615196,0.550199,0.02993964,0.0000448458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02732018,0.001636861,0.9075047,0.004361933,0.001097921,0.0004552529,0.002421877,0.006393514,0.04880768],"genre_scores_gemma":[0.2119667,0.001260101,0.7373289,0.001416424,0.0006032885,0.0008688937,0.004236347,0.00151269,0.04080666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0237632,"threshold_uncertainty_score":0.07949585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219473609993791,"score_gpt":0.2209279385941471,"score_spread":0.2087332024942092,"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."}}