{"id":"W4402679111","doi":"10.7554/elife.93906.2.sa0","title":"Author response: Refining the resolution of the yeast genotype-phenotype map using single-cell RNA-sequencing","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children; University of Toronto; Compute Canada","keywords":"Refining (metallurgy); Phenotype; Yeast; Genotype; Genetics; Biology; Computational biology; Single-cell analysis; Cell; Gene; Chemistry","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":[0.003851459,0.001297636,0.001272882,0.0008368499,0.002475585,0.003012761,0.001307405,0.007254947,0.2617055],"category_scores_gemma":[0.01896643,0.0006265793,0.001237351,0.000697291,0.001341308,0.001701529,0.004780109,0.00660461,0.1115634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631998,"about_ca_system_score_gemma":0.004012875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394694,"about_ca_topic_score_gemma":0.005794624,"domain_scores_codex":[0.997309,0.0006199793,0.0001792306,0.0004978247,0.0009170324,0.0004769565],"domain_scores_gemma":[0.9913186,0.00218569,0.0003775276,0.0006004608,0.00380791,0.001709699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001800061,0.00001138397,0.0002867926,0.0002234476,0.00001061279,0.0001534133,0.00007966753,0.0001269137,0.001265505,0.000528877,0.9891271,0.008006261],"study_design_scores_gemma":[0.0001494758,0.00008045478,0.001486684,0.0002593456,0.0000171041,0.0001613356,0.0006785321,0.000542438,0.00200908,0.001987489,0.9925627,0.00006525705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004505617,0.002823019,0.01026512,0.5492618,0.3303848,0.0007612138,0.02369698,0.00945901,0.06884241],"genre_scores_gemma":[0.03720179,0.003297457,0.01142597,0.4379351,0.03041351,0.001603584,0.01820541,0.004849437,0.4550677],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2617055,"threshold_uncertainty_score":0.8754921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08145314132058383,"score_gpt":0.3355917291379492,"score_spread":0.2541385878173653,"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."}}