{"id":"W3204226049","doi":"10.1007/978-1-0716-1740-3_4","title":"A Genetic Interaction Screening Approach in C. elegans","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Multicellular organism; Epistasis; Caenorhabditis elegans; Model organism; Biology; Genetic screen; Genetics; Allele; Genome; Organism; Gene; Function (biology); Computational biology; Phenotype","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":[0.0006597316,0.001056422,0.0007045413,0.001838326,0.001041628,0.0007438677,0.001278745,0.00117164,0.003422621],"category_scores_gemma":[0.0003975535,0.0007310832,0.001172884,0.0005339798,0.0006545958,0.0004271977,0.0009590225,0.001945504,0.001563561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006985282,"about_ca_system_score_gemma":0.001055285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115045,"about_ca_topic_score_gemma":0.008133749,"domain_scores_codex":[0.9989842,0.0001263407,0.0001048861,0.0002526898,0.000425624,0.000106201],"domain_scores_gemma":[0.9995858,0.0001165314,0.00008846603,0.00006604073,0.00005407995,0.00008913607],"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":[0.0000409796,0.00003753992,0.00006511164,0.00004582894,0.00001364114,0.00009926144,0.00001079615,0.00007690545,0.997029,0.0003612682,0.0001933655,0.002026242],"study_design_scores_gemma":[0.00004945374,0.0002319578,0.002144259,0.00001727853,0.00008616698,0.0008804702,0.00002204744,0.002298301,0.9868745,0.0001952471,0.007158176,0.00004220573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.554264,0.002841978,0.3960944,0.001597117,0.0006994251,0.003023671,0.009994935,0.009571672,0.02191282],"genre_scores_gemma":[0.677727,0.002729527,0.2796427,0.00100078,0.00006764696,0.00201519,0.005682558,0.001324756,0.02980979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003422621,"threshold_uncertainty_score":0.01144981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602264137128626,"score_gpt":0.3612494144778749,"score_spread":0.3352267731065887,"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."}}