{"id":"W3032699085","doi":"10.1242/dmm.044560","title":"Sentinel interaction mapping – a generic approach for the functional analysis of human disease gene variants using yeast","year":2020,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Simons Foundation Autism Research Initiative","keywords":"Biology; Gene; Saccharomyces cerevisiae; Computational biology; Yeast; Genetics; Function (biology); Genetic screen; PTEN; Gene mapping; Phenotype; Chromosome","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":[0.0001332296,0.0001599887,0.000174492,0.00009409701,0.0001911831,0.00003709305,0.0002109036,0.00004960491,0.00002924949],"category_scores_gemma":[0.000034039,0.0001326616,0.0003401851,0.0003529512,0.00003732543,0.000008813538,0.0001727036,0.00006360475,9.213185e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001425171,"about_ca_system_score_gemma":0.0001102175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051642,"about_ca_topic_score_gemma":7.92298e-7,"domain_scores_codex":[0.9987264,0.00005944547,0.0002257358,0.0004562602,0.0002995636,0.0002325868],"domain_scores_gemma":[0.9990991,0.000008786536,0.00009906257,0.0003126745,0.0001771611,0.0003032383],"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":[0.0003309461,0.0000989614,0.0001119414,0.00005445827,0.0005518737,0.000001355433,0.00003496485,0.2711483,0.7271404,0.0003940052,0.00004618789,0.00008661392],"study_design_scores_gemma":[0.000342239,0.00003538102,0.00180796,0.000005085055,0.0008175866,4.777437e-7,0.0000952779,0.9666864,0.02950855,0.0005194463,0.00003092318,0.0001506811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3542814,0.0002960159,0.6447783,0.00008081376,0.00003857075,0.0002399023,0.0002570337,0.000006897966,0.00002109968],"genre_scores_gemma":[0.9946916,0.00002765135,0.003309536,0.000288699,0.0002415881,0.00009359427,0.001255038,0.00002763293,0.00006466312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6976318,"threshold_uncertainty_score":0.5409783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081361051301244,"score_gpt":0.2978402730407141,"score_spread":0.1897041679105897,"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."}}