{"id":"W4226066396","doi":"10.1093/sysbio/syac028","title":"A Linear Time Solution to the Labeled Robinson–Foulds Distance Problem","year":2022,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001551137,0.0001018144,0.0002439489,0.00007864892,0.0004147654,0.0000593896,0.001091604,0.00003864598,0.00007691085],"category_scores_gemma":[0.00009139936,0.0000657424,0.00004899003,0.0005661971,0.00003108561,0.00006807828,0.0007618769,0.0001664965,0.0003330865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008927668,"about_ca_system_score_gemma":0.00007323434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556246,"about_ca_topic_score_gemma":0.000009039986,"domain_scores_codex":[0.9978192,0.001032715,0.0003667058,0.0003017509,0.0001918174,0.000287768],"domain_scores_gemma":[0.9989905,0.0001260699,0.0001404305,0.0005945413,0.00008318643,0.00006526374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003868826,0.0003606292,0.0003550798,0.006700948,0.0001872646,0.00001390836,0.01382493,0.1231318,0.009754062,0.8309602,0.0137024,0.0009700892],"study_design_scores_gemma":[0.0002639348,0.0002780243,0.0000139184,0.0001693967,0.000006781973,0.00003192339,0.00007933761,0.9918888,0.00004311676,0.003455792,0.003608845,0.0001600974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009863307,0.0001843546,0.9847232,0.01121612,0.0002692005,0.001813698,0.000009032985,0.0001742202,0.0006238818],"genre_scores_gemma":[0.9387049,0.000002554019,0.05587846,0.001624851,0.00004622517,0.001436622,0.00001479264,0.00001163407,0.00227993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9377186,"threshold_uncertainty_score":0.4281264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678887626976329,"score_gpt":0.2589924925464515,"score_spread":0.2422036162766882,"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."}}