{"id":"W2165094560","doi":"10.1111/j.1096-0031.2008.00229.x","title":"Is ACCTRAN better than DELTRAN?","year":2008,"lang":"en","type":"letter","venue":"Cladistics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS; Killam Trusts","keywords":"Character (mathematics); Phylogenetic tree; Character evolution; Feature (linguistics); Transformation (genetics); Tree (set theory); Mathematics; Evolutionary biology; Artificial intelligence; Computer science; Biology; Algorithm; Combinatorics; Genetics; Clade; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01410313,0.0006001522,0.00114196,0.0007019315,0.002425856,0.003419865,0.001829272,0.008592908,0.00904203],"category_scores_gemma":[0.06787198,0.000410922,0.0005924332,0.001575279,0.005159293,0.005612255,0.001188816,0.01072243,0.009650956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234095,"about_ca_system_score_gemma":0.001394335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827405,"about_ca_topic_score_gemma":0.00390503,"domain_scores_codex":[0.9945604,0.002401865,0.0005441896,0.0007785557,0.001424735,0.000290266],"domain_scores_gemma":[0.9735914,0.01728067,0.0009957288,0.002416962,0.00438269,0.001332561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006166002,0.0000601834,0.003611805,0.0004807031,0.0001591621,0.0008648349,0.0004397705,0.001578457,0.001286376,0.1185895,0.5049744,0.3673382],"study_design_scores_gemma":[0.0001330506,0.0001494739,0.002612271,0.0004479893,0.00005233848,0.003919092,0.0006118093,0.01121213,0.002099816,0.2652625,0.7133379,0.0001617222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003765748,0.008607577,0.01904526,0.9358045,0.02075027,0.00002397235,0.000128452,0.0003537282,0.01152036],"genre_scores_gemma":[0.1453198,0.01630443,0.08288004,0.6787677,0.04672512,0.0002104141,0.0003320032,0.001129031,0.02833145],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01410313,"threshold_uncertainty_score":0.07458538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058388056154343,"score_gpt":0.2362539687927353,"score_spread":0.2156700882311919,"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."}}