{"id":"W1634142797","doi":"10.51847/bwhto8i","title":"10.51847/BwHTO8i","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Griffith University","keywords":"Markov chain; Multiple sequence alignment; Computer science; Markov model; Sequence (biology); Alignment-free sequence analysis; Hidden Markov model; Data mining; Phylogenetic tree; Software; Probabilistic logic; Sequence alignment; Similarity (geometry); Tree (set theory); Artificial intelligence; Mathematics; Machine learning; Biology; Genetics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001067252,0.001632349,0.0009031185,0.004178206,0.000869261,0.00289189,0.001994312,0.002478116,0.9211276],"category_scores_gemma":[0.00181237,0.0008229261,0.0008071439,0.004114374,0.0007259612,0.002424707,0.002962582,0.001579077,0.9491848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007851394,"about_ca_system_score_gemma":0.0005780086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669994,"about_ca_topic_score_gemma":0.001259982,"domain_scores_codex":[0.9994068,0.00005084152,0.00004328531,0.0001593399,0.0002321059,0.0001076232],"domain_scores_gemma":[0.998781,0.0002073987,0.00007849425,0.000468545,0.0002381583,0.0002264047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002475848,0.0002289696,0.0006218075,0.0003423677,0.00003272746,0.0001772398,0.00005874024,0.0006065923,0.01151609,0.01066437,0.1913984,0.784105],"study_design_scores_gemma":[0.00005749314,0.00005228997,0.001038744,0.0001185846,0.00001604389,0.0003334355,0.0000329279,0.001551505,0.003715573,0.005360918,0.9876935,0.00002899247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003378515,0.001133055,0.05993431,0.001422522,0.001605,0.0004390296,0.01658959,0.03084136,0.8846567],"genre_scores_gemma":[0.008451139,0.0007925655,0.02533529,0.0006602905,0.0004047959,0.0002799389,0.02252685,0.005177485,0.9363716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07887244,"threshold_uncertainty_score":0.1125019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004995437620170467,"score_gpt":0.1789650556699077,"score_spread":0.1739696180497372,"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."}}