{"id":"W1492545524","doi":"10.1002/0471250953.bi1302s7","title":"Finding Protein Sequences Using PROWL","year":2004,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Computer science; Protocol (science); Mass spectrometry; Tandem mass spectrometry; Component (thermodynamics); Identification (biology); Chemistry; Physics; Chromatography; Biology","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":[0.001093559,0.001416847,0.001006111,0.003647328,0.0007340739,0.002470172,0.001557967,0.000683289,0.009426035],"category_scores_gemma":[0.002388969,0.0007040587,0.0008667033,0.002472632,0.0003398494,0.002634023,0.00123325,0.001518531,0.01091278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003941114,"about_ca_system_score_gemma":0.0005427116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004140834,"about_ca_topic_score_gemma":0.0005358986,"domain_scores_codex":[0.9994076,0.00006740425,0.00007819536,0.0002076849,0.000184974,0.00005405629],"domain_scores_gemma":[0.9991542,0.0002710998,0.0001307885,0.0001983316,0.0001732629,0.00007231518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001663005,0.0001857362,0.006555058,0.002026972,0.000250888,0.001362768,0.0007977462,0.002499269,0.5538096,0.009403177,0.03617286,0.3852728],"study_design_scores_gemma":[0.0001355521,0.0005027351,0.009982253,0.0002890563,0.0002190867,0.005233262,0.0008781622,0.08478107,0.6158193,0.0197254,0.2621931,0.0002411252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0622772,0.001926918,0.8390083,0.0004568151,0.0001874023,0.0004613014,0.01845274,0.06892126,0.008308043],"genre_scores_gemma":[0.07650342,0.002354848,0.8712561,0.0002481579,0.00005427434,0.0006850456,0.03592268,0.005838699,0.007136736],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009426035,"threshold_uncertainty_score":0.03153318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0681208844769303,"score_gpt":0.3529035527846208,"score_spread":0.2847826683076905,"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."}}