{"id":"W4412701361","doi":"10.7554/elife.93906.5.sa3","title":"Author response: Refining the resolution of the yeast genotype–phenotype map using single-cell RNA-sequencing","year":2025,"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":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Refining (metallurgy); Computational biology; Phenotype; Resolution (logic); Genotype; Yeast; Biology; Genetics; Computer science; Artificial intelligence; Gene; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006825629,0.0006909816,0.0009038649,0.001033729,0.002391501,0.002693283,0.001076356,0.005840575,0.1596937],"category_scores_gemma":[0.04609583,0.0005285315,0.0006214375,0.0006091699,0.00127134,0.001253748,0.00264452,0.007273763,0.0762874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780118,"about_ca_system_score_gemma":0.00636178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005965076,"about_ca_topic_score_gemma":0.01420986,"domain_scores_codex":[0.9953582,0.0009072649,0.0002620104,0.0004505588,0.002562948,0.000458993],"domain_scores_gemma":[0.9586613,0.009021685,0.001011418,0.0024305,0.02409473,0.00478045],"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":[0.00008522302,0.00000990036,0.0001467728,0.00007195934,0.00000584789,0.0001367589,0.00006830578,0.00008646386,0.001209106,0.0008065208,0.9915411,0.005832024],"study_design_scores_gemma":[0.00004539487,0.00002505475,0.0007018552,0.00005760316,0.000007767953,0.0001187324,0.0002677221,0.0003077695,0.001794471,0.001325969,0.9953106,0.00003714258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002965323,0.0007522384,0.008326198,0.6242426,0.3038067,0.0004805619,0.005112102,0.004132252,0.05018219],"genre_scores_gemma":[0.02669311,0.001689491,0.009752027,0.223935,0.03146,0.000525087,0.005900658,0.003925563,0.6961191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1596937,"threshold_uncertainty_score":0.5342288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07407401801122863,"score_gpt":0.3337966326794334,"score_spread":0.2597226146682047,"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."}}