{"id":"W4320009809","doi":"10.2139/ssrn.4341383","title":"A Near-Linear Kernel for Two-Parsimony Distance","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mathematics; Maximum parsimony; Kernel (algebra); Combinatorics; Statistics; Phylogenetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006375355,0.0001253442,0.0001310672,0.00004044145,0.0002295132,0.00004006615,0.0002282604,0.00007000665,0.000008044005],"category_scores_gemma":[0.00009127319,0.0001090135,0.0002150518,0.0002157145,0.00005762978,0.000007707562,0.0000388117,0.0003452285,0.00005399111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008627242,"about_ca_system_score_gemma":0.0007240108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002992068,"about_ca_topic_score_gemma":0.0005076027,"domain_scores_codex":[0.998058,0.00002600541,0.0001842878,0.0002369448,0.0001302613,0.001364513],"domain_scores_gemma":[0.9995556,0.00001248719,0.00008976866,0.0001825865,0.0000850501,0.00007444611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001612728,0.0003447014,0.01681093,0.00006513813,0.002452447,0.00004764403,0.0002930918,0.0119835,0.8065314,0.05315198,0.01096208,0.09574443],"study_design_scores_gemma":[0.008255057,0.004687295,0.00154311,0.00007902535,0.0005661274,0.0007198419,0.004979266,0.03509922,0.1068776,0.3186071,0.5163114,0.002274954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603572,0.002201869,0.03608738,0.0007701463,0.0001245419,0.0001137743,0.00001578225,0.000026494,0.0003028494],"genre_scores_gemma":[0.9902545,0.002117649,0.0002005618,0.0001768403,0.0005317911,0.00001636949,0.00009471892,0.00002474127,0.006582821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6996537,"threshold_uncertainty_score":0.4445443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008170668103195042,"score_gpt":0.2696771115295145,"score_spread":0.2615064434263195,"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."}}