{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003856505,0.0004225551,0.0003452249,0.00004620402,0.0001518506,0.00002954756,0.0004220884,0.0009363072,0.00004191311],"category_scores_gemma":[0.00002702759,0.0004153938,0.0002697668,0.0000491505,0.0002113421,2.511058e-7,0.0001321051,0.0005771693,0.00007033137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001705653,"about_ca_system_score_gemma":0.0000950325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378855,"about_ca_topic_score_gemma":0.000007639655,"domain_scores_codex":[0.9984004,0.00003823203,0.0002909992,0.0005997692,0.0001884384,0.0004820844],"domain_scores_gemma":[0.9989709,0.00001747156,0.0001182697,0.0007198689,0.0001065792,0.00006688314],"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":[0.000008514661,0.00002051635,0.0008252771,0.00005193964,0.0002295325,0.00008085377,0.00006069432,0.000001994964,0.00957707,0.000003071824,0.988742,0.0003985497],"study_design_scores_gemma":[0.0002298708,0.0001708092,0.001266182,0.00001349463,0.0001033107,0.00005818621,0.000005902788,0.000005749377,0.005661717,0.0001914199,0.9917848,0.0005085923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2458717,0.01913503,0.003153792,0.6870095,0.00539102,0.00149284,0.005585085,0.00005794954,0.03230305],"genre_scores_gemma":[0.09605516,0.004210279,0.001600476,0.8753197,0.01288286,0.00004410159,0.001860598,0.0001806484,0.007846192],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1883102,"threshold_uncertainty_score":0.9998298,"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."}}