{"id":"W2068545077","doi":"10.1186/1471-2164-10-s3-s7","title":"Development of a database system for mapping insertional mutations onto the mouse genome with large-scale experimental data","year":2009,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Program for New Century Excellent Talents in University; Shanghai Leading Academic Discipline Project; University of Toronto","keywords":"Insertional mutagenesis; Computational biology; Biology; Mutagenesis; Computer science; Genome; Genetics; Mutation; Database; Gene","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":[0.009713956,0.002180564,0.002337887,0.006891338,0.001409178,0.004809428,0.006992039,0.001740749,0.009343264],"category_scores_gemma":[0.0101899,0.001652519,0.001908283,0.00592911,0.0006076356,0.00470256,0.004040034,0.00256607,0.008517857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109898,"about_ca_system_score_gemma":0.003973411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198318,"about_ca_topic_score_gemma":0.002214537,"domain_scores_codex":[0.994934,0.00065672,0.00128728,0.001342499,0.00154624,0.0002332506],"domain_scores_gemma":[0.9925082,0.001785217,0.0007905274,0.002313576,0.001773323,0.0008291897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002456507,0.000900629,0.01436702,0.003706007,0.0009213171,0.00233635,0.0014761,0.01123336,0.08863167,0.02199215,0.2055857,0.6463932],"study_design_scores_gemma":[0.001549634,0.0006683662,0.01648995,0.0007605087,0.000931633,0.003544658,0.0007030893,0.1399946,0.1711929,0.02698283,0.6364791,0.0007026978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00672196,0.0009101806,0.7577569,0.0005311355,0.0002326526,0.001137786,0.03049527,0.1986324,0.0035818],"genre_scores_gemma":[0.03859962,0.001318859,0.7916651,0.0007219475,0.0001392465,0.002478109,0.1499253,0.0102879,0.00486392],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009713956,"threshold_uncertainty_score":0.05137295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445509455424992,"score_gpt":0.2542388113840541,"score_spread":0.2097837168298042,"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."}}