{"id":"W2238809220","doi":"10.1007/978-3-662-48221-6_5","title":"Orthology Relation and Gene Tree Correction: Complexity Results","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tree (set theory); Converse; Relation (database); Set (abstract data type); Computer science; Similarity (geometry); Tree rearrangement; K-ary tree; Gene; Sequence (biology); Phylogenetic tree; Tree structure; Mathematics; Combinatorics; Algorithm; Biology; Binary tree; Data mining; Artificial intelligence; Genetics; Image (mathematics)","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":[0.008651074,0.001395005,0.002484398,0.004607551,0.002417426,0.004450336,0.00625811,0.002542448,0.01048696],"category_scores_gemma":[0.08275592,0.001082592,0.003656638,0.004918364,0.003420298,0.01015307,0.006893152,0.006624615,0.002190487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185744,"about_ca_system_score_gemma":0.00187851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834571,"about_ca_topic_score_gemma":0.002250326,"domain_scores_codex":[0.9922009,0.002236678,0.0004763149,0.001700351,0.002904814,0.0004808915],"domain_scores_gemma":[0.8955913,0.07982057,0.002951882,0.01411131,0.00606309,0.001461849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001451494,0.0005509318,0.01996697,0.001077354,0.0005239396,0.001002777,0.001001162,0.1303088,0.0171177,0.2655274,0.02110809,0.5403633],"study_design_scores_gemma":[0.0000679522,0.0001032773,0.005396864,0.00009540832,0.0001896867,0.000738835,0.0001497066,0.5912096,0.01024286,0.3859684,0.005763375,0.00007393269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03235997,0.001180219,0.9571107,0.001036837,0.0002670724,0.0001086793,0.0005898713,0.001241526,0.006105165],"genre_scores_gemma":[0.3272381,0.001043261,0.6518936,0.0005295951,0.001158908,0.0003298327,0.003168563,0.002385414,0.01225281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01048696,"threshold_uncertainty_score":0.04575181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606159735357247,"score_gpt":0.2575157984125176,"score_spread":0.2214542010589452,"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."}}