{"id":"W2125076159","doi":"10.1109/tcbb.2012.11","title":"The Kernel of Maximum Agreement Subtrees","year":2012,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Ottawa","funders":"","keywords":"Mathematics; Substructure; Tree (set theory); Mast (botany); Kernel (algebra); Bounded function; Combinatorics; Bayesian probability; Set (abstract data type); Computer science; Statistics; 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":[0.005581748,0.0005084767,0.001462811,0.00361942,0.00142082,0.003274822,0.002619539,0.001545931,0.003818602],"category_scores_gemma":[0.06971905,0.000683634,0.00139451,0.002713297,0.003772871,0.008576083,0.003692258,0.002574066,0.0009464506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468508,"about_ca_system_score_gemma":0.001120317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232569,"about_ca_topic_score_gemma":0.0007045389,"domain_scores_codex":[0.9953558,0.001069515,0.000384602,0.00108141,0.001533608,0.0005750138],"domain_scores_gemma":[0.9419733,0.03903217,0.005966217,0.006179202,0.004750462,0.002098634],"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":[0.0007432834,0.0001783045,0.01590126,0.0004883165,0.0001458288,0.0006967314,0.002517907,0.1192024,0.01136374,0.7273117,0.003616166,0.1178343],"study_design_scores_gemma":[0.00003379424,0.00007980623,0.002796437,0.00004895029,0.00002945628,0.0003918087,0.0003104937,0.4243082,0.002463265,0.5672035,0.002290999,0.00004333134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1807677,0.0004476701,0.8139726,0.0003035995,0.00003148335,0.0000707931,0.0003708445,0.0006399129,0.003395353],"genre_scores_gemma":[0.916177,0.0002406851,0.08058002,0.0001000503,0.0001286864,0.0001205857,0.0008018028,0.0002412513,0.001609913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005581748,"threshold_uncertainty_score":0.0295195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507067592707405,"score_gpt":0.2573592333663247,"score_spread":0.2422885574392506,"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."}}