{"id":"W2151927208","doi":"10.1016/j.ygeno.2006.06.001","title":"In silico identification and Bayesian phylogenetic analysis of multiple new mammalian kallikrein gene families","year":2006,"lang":"en","type":"article","venue":"Genomics","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biology; Genetics; Genome; Gene; Kallikrein; Gene family; In silico; Phylogenetic tree","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002528665,0.0008347466,0.00123869,0.001698267,0.001831962,0.001494838,0.001137588,0.00108566,0.002610676],"category_scores_gemma":[0.00457647,0.0005841271,0.001168321,0.001043605,0.0005903764,0.0008086328,0.0007572211,0.001646464,0.0008075428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254345,"about_ca_system_score_gemma":0.00110418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109113,"about_ca_topic_score_gemma":0.002884205,"domain_scores_codex":[0.9989842,0.0004787497,0.0000470159,0.0002498931,0.0001483284,0.00009171564],"domain_scores_gemma":[0.9980196,0.001345402,0.0001768162,0.00009586368,0.0001726437,0.0001897004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01005216,0.002280573,0.1915577,0.003014937,0.002729433,0.003789801,0.002943462,0.2082115,0.3345141,0.0221439,0.007962883,0.2107996],"study_design_scores_gemma":[0.0007460052,0.0008541152,0.06368624,0.0003245416,0.001684936,0.002445339,0.001036335,0.8691786,0.02560082,0.01961637,0.01465516,0.0001715489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874085,0.001592527,0.116878,0.0007337939,0.00007951001,0.0002405815,0.002378223,0.0006611812,0.003351197],"genre_scores_gemma":[0.8962328,0.0004537191,0.09656809,0.0002687835,0.00003637263,0.0001281101,0.005546524,0.0001646452,0.0006009228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002610676,"threshold_uncertainty_score":0.01337302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025989720976698,"score_gpt":0.2344885790854257,"score_spread":0.2242286818756588,"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."}}