{"id":"W2120542866","doi":"10.1534/g3.115.017830","title":"CYCLoPs: A Comprehensive Database Constructed from Automated Analysis of Protein Abundance and Subcellular Localization Patterns in<i>Saccharomyces cerevisiae</i>","year":2015,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Saccharomyces cerevisiae; Protein subcellular localization prediction; Proteome; Biology; Computational biology; Yeast; Subcellular localization; Proteomics; Genetics; Gene","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":[0.0006743739,0.002658274,0.001635058,0.005832798,0.0007256109,0.001979008,0.001964058,0.001024593,0.006012885],"category_scores_gemma":[0.002265594,0.0009138388,0.0009950034,0.009208338,0.0003207998,0.001618943,0.001786838,0.001136045,0.007108591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000756581,"about_ca_system_score_gemma":0.002163153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827765,"about_ca_topic_score_gemma":0.0067054,"domain_scores_codex":[0.9994987,0.00004441428,0.0001114237,0.0001519686,0.0001436355,0.00004978339],"domain_scores_gemma":[0.9988507,0.0001634252,0.0003380721,0.000229995,0.0002182254,0.0001995476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00482118,0.0004297949,0.0379496,0.01189591,0.00144656,0.00275768,0.0007768784,0.008588545,0.1222572,0.007490273,0.6373844,0.164202],"study_design_scores_gemma":[0.0008868265,0.0004228516,0.08609172,0.0007841876,0.0008365071,0.002914214,0.0004431045,0.02059108,0.06278203,0.009289538,0.8145383,0.0004197033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02262663,0.001647119,0.0130239,0.0000909966,0.00005268061,0.000147479,0.9342313,0.02569528,0.002484534],"genre_scores_gemma":[0.01430713,0.0007678221,0.01265659,0.00004715283,0.00000969371,0.0002163931,0.970715,0.0009313198,0.0003488013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006012885,"threshold_uncertainty_score":0.02011514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441146631423223,"score_gpt":0.2633836996257339,"score_spread":0.2489722333115017,"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."}}