{"id":"W2111434929","doi":"10.1534/g3.112.004754","title":"<i>Saccharomyces cerevisiae</i>Genetics Predicts Candidate Therapeutic Genetic Interactions at the Mammalian Replication Fork","year":2013,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Terry Fox Foundation; National Cancer Institute; National Institutes of Health; Michael Smith Health Research BC","keywords":"Replication (statistics); Genetics; Saccharomyces cerevisiae; Fork (system call); Biology; Gene; Computer science; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607104,0.0007708266,0.0003282045,0.0004650388,0.0001994431,0.0006197669,0.0002651646,0.0002444364,0.001157523],"category_scores_gemma":[0.0003349367,0.000212009,0.0004619001,0.0003061386,0.0001943393,0.000188503,0.0001694411,0.0003750576,0.000490092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007278804,"about_ca_system_score_gemma":0.0007306043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294072,"about_ca_topic_score_gemma":0.004453125,"domain_scores_codex":[0.9999042,0.00001574378,0.00001098837,0.00002215583,0.00003744312,0.000009567369],"domain_scores_gemma":[0.9998543,0.00003995819,0.00004973404,0.00002250572,0.00002091094,0.00001268054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002118568,0.00006268401,0.009654474,0.0001873017,0.00005109952,0.0001990406,0.00001530263,0.03290859,0.9368511,0.00270537,0.0009644016,0.01618872],"study_design_scores_gemma":[0.00002520922,0.0002162328,0.006695953,0.00002824012,0.00009215567,0.0003344592,0.0000255191,0.1088953,0.8694409,0.001460818,0.01276256,0.00002274845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346171,0.003227468,0.2375861,0.0004896785,0.00008878969,0.0002311935,0.007869956,0.006753151,0.009136572],"genre_scores_gemma":[0.860814,0.002580945,0.1276212,0.00009199847,0.00001326497,0.00009574195,0.007259966,0.0002491971,0.001273723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00294072,"threshold_uncertainty_score":0.005847216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068850556172525,"score_gpt":0.2819280830686184,"score_spread":0.2712395775068931,"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."}}