{"id":"W2988938374","doi":"10.1101/834721","title":"Systematic mapping of genetic interactions for <i>de novo</i> fatty acid synthesis","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canada Research Chairs; Deutsche Forschungsgemeinschaft; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Fatty acid synthesis; Biology; Lipid metabolism; De novo synthesis; Fatty acid; Gene; Biochemistry; Mutant; Fatty acid metabolism; Enzyme","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":[0.0003305609,0.0004392373,0.0004342586,0.0005149421,0.000224349,0.0004300819,0.0003483328,0.0003881828,0.001898253],"category_scores_gemma":[0.0003652772,0.0002492651,0.0003931352,0.0003519059,0.0003804189,0.0001569494,0.0006718404,0.0007519951,0.0008188628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127733,"about_ca_system_score_gemma":0.0003571092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102305,"about_ca_topic_score_gemma":0.002172033,"domain_scores_codex":[0.9996732,0.00004797815,0.00002947552,0.0001014588,0.00009671631,0.00005116945],"domain_scores_gemma":[0.9996071,0.0001272817,0.0001272705,0.00007087883,0.00003067404,0.0000368256],"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":[0.00004601483,0.00001073107,0.0003100159,0.00004061155,0.000009717351,0.00007826649,0.00001024938,0.0002577367,0.9970631,0.0001804112,0.00007944458,0.001913623],"study_design_scores_gemma":[0.0000157301,0.00009339291,0.006696075,0.000009907384,0.00004220442,0.0004558968,0.00003493978,0.002590125,0.9854828,0.0001698791,0.00439649,0.00001259749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255397,0.001183812,0.05952429,0.0003650331,0.00008563859,0.0002507477,0.005559474,0.00170578,0.005785511],"genre_scores_gemma":[0.9585634,0.0007308855,0.03219872,0.0003155875,0.00001383285,0.000117697,0.003645353,0.0005987034,0.003815752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001898253,"threshold_uncertainty_score":0.006350338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509044536793266,"score_gpt":0.2334342402345325,"score_spread":0.2183437948665999,"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."}}