{"id":"W2092328126","doi":"10.1111/j.1471-8286.2007.01904.x","title":"<scp>fingerprint</scp>: visual depiction of variation in multiple sequence alignments","year":2007,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Genomics Institute; Genome Canada","keywords":"Fingerprint (computing); Set (abstract data type); Visualization; Sequence (biology); Computer science; Feature (linguistics); Computational biology; Biology; Focus (optics); Artificial intelligence; Genetics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009197245,0.001310102,0.0009319916,0.004211435,0.0005370706,0.001496205,0.00137808,0.0009251887,0.1183241],"category_scores_gemma":[0.004463139,0.0005628947,0.0006428711,0.003871875,0.0003917205,0.002290186,0.001419127,0.001388948,0.01637067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760376,"about_ca_system_score_gemma":0.0006011907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003262973,"about_ca_topic_score_gemma":0.003468287,"domain_scores_codex":[0.9996263,0.00007686688,0.00003285279,0.00004295232,0.0001739551,0.00004697645],"domain_scores_gemma":[0.9978318,0.001186479,0.0002161996,0.0002191963,0.0003278682,0.0002184529],"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":[0.0007594611,0.0001283573,0.003016012,0.002146042,0.000183554,0.001418837,0.0007150266,0.004447637,0.0533844,0.008541734,0.7050959,0.220163],"study_design_scores_gemma":[0.0007295024,0.0003102346,0.03167313,0.001079865,0.0002159836,0.004570394,0.0006154045,0.1530382,0.07705008,0.04631416,0.68391,0.0004931543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0185818,0.001123964,0.3893812,0.002313628,0.0006158439,0.0004240637,0.1111744,0.446717,0.02966809],"genre_scores_gemma":[0.1932067,0.002237139,0.5695817,0.001599912,0.000562485,0.001193532,0.121052,0.07996724,0.0305993],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1183241,"threshold_uncertainty_score":0.3958334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291136311180121,"score_gpt":0.259292476348354,"score_spread":0.2463811132365527,"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."}}