{"id":"W1974614108","doi":"10.1093/nar/gkg606","title":"FootPrinter: a program designed for phylogenetic footprinting","year":2003,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Biology; Footprinting; Phylogenetic tree; Software; Computational biology; Set (abstract data type); Homologous chromosome; Protein superfamily; Genetics; Conserved sequence; Evolutionary biology; Gene; Base sequence; Computer science; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198675,0.002124271,0.002006097,0.001568343,0.001356634,0.001060343,0.00261185,0.001497417,0.06348143],"category_scores_gemma":[0.002407531,0.002295897,0.001381728,0.001459347,0.0005328747,0.002028124,0.001893396,0.003392991,0.03708677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778007,"about_ca_system_score_gemma":0.000889159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122892,"about_ca_topic_score_gemma":0.001789634,"domain_scores_codex":[0.9989997,0.0001438458,0.0000860139,0.0003230415,0.0003551366,0.00009235376],"domain_scores_gemma":[0.9992599,0.0003085493,0.00006746605,0.0001209779,0.0001669312,0.00007629202],"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":[0.001860399,0.0004912353,0.00416694,0.003140288,0.0004747419,0.0006436994,0.0005220583,0.008199239,0.1688598,0.007806775,0.4384798,0.3653551],"study_design_scores_gemma":[0.0007340916,0.0004318281,0.004361729,0.0002042028,0.0002181794,0.001470701,0.0001256165,0.0710766,0.1731111,0.01687686,0.7310683,0.0003208872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005633493,0.0006211028,0.6081874,0.0001684844,0.0003336005,0.0005820699,0.02343482,0.3543719,0.00666714],"genre_scores_gemma":[0.02086811,0.0005366149,0.836602,0.0004147169,0.0000814505,0.002248075,0.06043104,0.06046825,0.01834972],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06348143,"threshold_uncertainty_score":0.2123665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684493377090283,"score_gpt":0.3538264007644235,"score_spread":0.2969814669935207,"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."}}