{"id":"W4285309875","doi":"10.1007/978-1-0716-2257-5_22","title":"Bulk-Fitness Measurements Using Barcode Sequencing Analysis in Yeast","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"","keywords":"Barcode; Yeast; Identifier; DNA barcoding; Strain (injury); DNA sequencing; Biology; Computational biology; Genotype; Genetics; DNA; Computer science; Evolutionary biology; Gene; Anatomy","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":[0.0006561605,0.0005626759,0.0006745479,0.001239163,0.0003636882,0.0008029137,0.0005738687,0.0005817154,0.0006414971],"category_scores_gemma":[0.001288458,0.0002381978,0.0003454114,0.0008136724,0.0002881017,0.000411072,0.0006160696,0.000753018,0.0009048454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004343474,"about_ca_system_score_gemma":0.0003226724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097813,"about_ca_topic_score_gemma":0.002760043,"domain_scores_codex":[0.9991653,0.00008487093,0.00005674663,0.0001855904,0.0004585223,0.00004903874],"domain_scores_gemma":[0.998836,0.0002613978,0.0002485973,0.0001319594,0.0004119958,0.0001100733],"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":[0.00005852817,0.00003848881,0.001543659,0.00005934563,0.00001822374,0.00003198783,0.00006009336,0.0005550431,0.9859321,0.0002455249,0.0001281019,0.01132894],"study_design_scores_gemma":[0.000007811968,0.0001766057,0.009915432,0.00001729204,0.0000277124,0.0002123271,0.00005985895,0.01337234,0.9736421,0.0005013894,0.00202805,0.00003915681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7031062,0.001377396,0.2853811,0.0001262417,0.0001005176,0.0002502135,0.003761774,0.003617096,0.002279473],"genre_scores_gemma":[0.734207,0.001714015,0.2547542,0.0001993305,0.00004333581,0.0004786674,0.004157983,0.0005547418,0.00389073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002097813,"threshold_uncertainty_score":0.004171133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09261327549033785,"score_gpt":0.4334351001607827,"score_spread":0.3408218246704449,"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."}}