{"id":"W2015820505","doi":"10.1142/s0219720006001898","title":"SELECTIVE TARGETING OF INDEL-INFERRED DIFFERENCES IN SPATIAL STRUCTURES OF HOMOLOGOUS PROTEINS","year":2006,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Biology; Virulence; In silico; Peptide sequence; Genetics; Human pathogen; Computational biology; Sequence alignment; Protein sequencing; Protein superfamily; Gene","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":[0.0002527439,0.00007218908,0.0003960458,0.0002814914,0.00002525919,0.000004654193,0.00005508722,0.00006059252,0.000005795432],"category_scores_gemma":[0.0001953047,0.00004821073,0.00004809141,0.0001209673,0.0001939098,0.00005340584,0.00003692627,0.0001583107,1.29191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002327855,"about_ca_system_score_gemma":0.0001587694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282845,"about_ca_topic_score_gemma":0.00001991315,"domain_scores_codex":[0.9988835,0.00004287148,0.0007403102,0.00004249525,0.0001827527,0.0001080248],"domain_scores_gemma":[0.9986863,0.0002000201,0.0005908106,0.00002788337,0.0004675446,0.00002746626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006620964,0.0002761077,0.9697236,0.0004922177,0.0002484968,0.00001295234,0.001712662,0.001839812,0.004218185,0.006058364,0.0002105443,0.01454501],"study_design_scores_gemma":[0.001346192,0.001549573,0.9585047,0.000074907,0.00001652619,0.00009339452,0.0004079264,0.009447475,0.001721163,0.02677807,0.000007138978,0.0000529074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902232,0.0003337248,0.008803621,0.0002206904,0.00003260023,0.0001453439,0.00001249744,0.000001619186,0.000226685],"genre_scores_gemma":[0.9780533,0.00003883865,0.02182913,0.0000181113,0.00004505186,0.000001284576,0.000009766101,0.000002201111,0.000002363222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02071971,"threshold_uncertainty_score":0.1965977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524377962744824,"score_gpt":0.2806208448044124,"score_spread":0.2653770651769642,"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."}}