{"id":"W2324813092","doi":"10.1101/pdb.top087593","title":"High-Throughput Microscopy-Based Screening in <i>Saccharomyces cerevisiae</i>","year":2016,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Saccharomyces cerevisiae; Budding yeast; Computational biology; Yeast; DNA microarray; Model organism; Genome; Throughput; Fluorescence microscope; Biology; Computer science; Genetics; Gene; Gene expression; Fluorescence","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":[0.001210042,0.0008653084,0.0008057062,0.0008290456,0.0007432168,0.0008083905,0.001572985,0.0006416319,0.00205361],"category_scores_gemma":[0.0005844062,0.0008800242,0.0008714703,0.0009668205,0.0004013251,0.0004718115,0.0008437527,0.000828342,0.002327414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027793,"about_ca_system_score_gemma":0.0006202739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907631,"about_ca_topic_score_gemma":0.006496768,"domain_scores_codex":[0.9987302,0.000302103,0.00009528567,0.000183276,0.0005978743,0.00009118977],"domain_scores_gemma":[0.9996222,0.0001136872,0.0000467297,0.00009710156,0.00008260141,0.00003768444],"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":[0.0001040076,0.00006688538,0.0002809713,0.0002015678,0.0000307304,0.00009308946,0.00004687175,0.0009930248,0.979909,0.001255257,0.003608464,0.01341016],"study_design_scores_gemma":[0.00003600362,0.000140519,0.001762269,0.00003045252,0.00002829943,0.0002764855,0.00002093264,0.006711427,0.9666752,0.0005100657,0.02376037,0.00004803169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.2286461,0.008547341,0.692965,0.001900041,0.0005126041,0.003516967,0.02045148,0.0233407,0.02011976],"genre_scores_gemma":[0.3184174,0.01131944,0.6275325,0.0007272804,0.0001152626,0.004484212,0.01831608,0.001704221,0.01738351],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.003907631,"threshold_uncertainty_score":0.007769763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992756795820047,"score_gpt":0.3030972948673913,"score_spread":0.2831697269091908,"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."}}