{"id":"W1606852178","doi":"","title":"Identification of Microorganisms by Mass Spectrometry","year":2005,"lang":"en","type":"book","venue":"","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass spectrometry; Matrix-assisted laser desorption/ionization; Chromatography; Chemistry; Bacteria; Bacterial taxonomy; Identification (biology); Biology; 16S ribosomal RNA; Desorption; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244697,0.002159126,0.001595446,0.005665133,0.001521882,0.001552718,0.001624389,0.001484076,0.06099954],"category_scores_gemma":[0.002103041,0.0006347688,0.0010862,0.002399987,0.0006068358,0.002193243,0.00154765,0.0020415,0.07198341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008944508,"about_ca_system_score_gemma":0.001247537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006977358,"about_ca_topic_score_gemma":0.0009036576,"domain_scores_codex":[0.9981225,0.0002174568,0.0001045363,0.0003209163,0.001126256,0.0001083334],"domain_scores_gemma":[0.9986874,0.0001413985,0.0001114482,0.0000972682,0.0008555134,0.0001069746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000253941,0.0001643099,0.002067932,0.002422069,0.0001203276,0.0006504913,0.0002332615,0.0005279855,0.3112233,0.005574904,0.3067255,0.3700359],"study_design_scores_gemma":[0.00003049854,0.000225905,0.004808147,0.0005052559,0.00005777777,0.001474662,0.0002488887,0.001640131,0.1328546,0.005014129,0.8530229,0.0001170563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03346736,0.1766818,0.4623502,0.01924378,0.04848371,0.002235736,0.03841589,0.01854293,0.2005786],"genre_scores_gemma":[0.07717162,0.1178751,0.3661554,0.007189324,0.01043838,0.002086127,0.04518418,0.002463157,0.3714367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06099954,"threshold_uncertainty_score":0.2040638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006329970085393136,"score_gpt":0.2288383492857902,"score_spread":0.2225083792003971,"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."}}