{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003503237,0.0001303193,0.0001614954,0.00007092618,0.00005096203,0.00000520117,0.0001116736,0.0001893101,0.000001983467],"category_scores_gemma":[0.0003807938,0.0001460876,0.0000611329,0.0000888969,0.00009451358,0.000001116049,0.0001122534,0.00006352772,0.000004827195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002888244,"about_ca_system_score_gemma":0.00003252112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425574,"about_ca_topic_score_gemma":0.0007483223,"domain_scores_codex":[0.9989935,0.00006004636,0.0002878878,0.0003007136,0.00008268755,0.0002752186],"domain_scores_gemma":[0.9994851,0.000107258,0.0001232153,0.0001763915,0.0000677249,0.00004033973],"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":[0.00001372789,0.00008341468,0.1321261,0.000007622411,0.0000495136,0.000008630124,0.0001021737,0.0006306265,0.866318,0.000312578,0.00000587113,0.0003416539],"study_design_scores_gemma":[0.000395069,0.0001782658,0.3317639,0.000003541333,0.00001218993,0.000004853056,0.00003367287,0.0001331956,0.6665772,0.0003723941,0.0004747635,0.0000510009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894091,0.0002794668,0.00948314,0.00002933333,0.00016676,0.0001835154,0.000006417394,0.000003522852,0.0004387223],"genre_scores_gemma":[0.9974526,0.00005071365,0.00214674,0.0002377826,0.00004133219,0.00001668375,0.00002415027,0.0000154969,0.00001446756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997409,"threshold_uncertainty_score":0.5957279,"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."}}