{"id":"W83006640","doi":"10.2144/00291bc01","title":"Color and Graphic Display (CGD): Programs for Multiple Sequence Alignment Analysis in Spreadsheet Software","year":2000,"lang":"en","type":"article","venue":"BioTechniques","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Rennes 1; McGill University","keywords":"Computer science; Software; Alignment-free sequence analysis; Sequence (biology); Sequence alignment; Set (abstract data type); Multiple sequence alignment; Sequence analysis; DNA sequencing; Computational biology; Consensus sequence; Computer graphics (images); Programming language; Biology; Base sequence; Genetics; Peptide sequence; DNA; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001329092,0.0001413515,0.0001786054,0.00006400778,0.00005936547,0.00002120025,0.0001075392,0.0001482375,0.000004569017],"category_scores_gemma":[0.00002446533,0.0001276625,0.0000955989,0.0001534021,0.00009425672,9.009557e-7,0.0000498607,0.00003447988,3.840934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001184116,"about_ca_system_score_gemma":0.00001486115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265316,"about_ca_topic_score_gemma":0.0004522923,"domain_scores_codex":[0.9991994,0.00002330089,0.0001673097,0.0003502756,0.00005451147,0.000205196],"domain_scores_gemma":[0.999661,0.00001659036,0.00003757318,0.0002122027,0.00002767194,0.00004499896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001694291,0.0001463667,0.1575538,0.00004042324,0.0003252785,0.000002594251,0.0001264304,0.00004971253,0.8005926,0.0000672897,0.0002489828,0.04067708],"study_design_scores_gemma":[0.00108593,0.001850504,0.1412048,0.00006806244,0.0003806683,0.00001059472,0.0001214623,0.0008406845,0.7570703,0.001068878,0.09530637,0.0009917909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962704,0.001077752,0.001810407,0.00008472936,0.00001341631,0.0005804403,0.0001010065,0.00001596749,0.00004590101],"genre_scores_gemma":[0.9781609,0.001675792,0.01953181,0.00008863142,0.00003090044,0.0003063737,0.00009793988,0.00001268538,0.00009496917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09505739,"threshold_uncertainty_score":0.5205926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625977261285757,"score_gpt":0.2620937474279108,"score_spread":0.2458339748150532,"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."}}