{"id":"W2167166714","doi":"10.1128/jcm.00651-11","title":"Rapid Identification of Cryptococcus neoformans and Cryptococcus gattii by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hospital for Sick Children; BC Centre for Disease Control; University of Toronto; Toronto Public Health","funders":"","keywords":"Cryptococcus neoformans; Cryptococcus gattii; Mass spectrometry; Cryptococcus; Matrix-assisted laser desorption/ionization; Microbiology; Cryptococcosis; Biology; Subspecies; Desorption; Chemistry; Chromatography","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":[0.0007734818,0.0009814173,0.0006205915,0.00205415,0.0004231304,0.000548006,0.0003639365,0.0006067632,0.001060342],"category_scores_gemma":[0.001848194,0.0004466418,0.0002520968,0.0009620838,0.0003641008,0.0004710502,0.0005519557,0.0004241926,0.0006627423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791743,"about_ca_system_score_gemma":0.0004934893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702699,"about_ca_topic_score_gemma":0.004585825,"domain_scores_codex":[0.9989749,0.0001102113,0.00008763379,0.0001713404,0.000530948,0.0001250631],"domain_scores_gemma":[0.9991559,0.0002702567,0.0001644289,0.00005710237,0.000249674,0.0001027355],"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":[0.0002867589,0.00006197517,0.004038848,0.00009343524,0.00000792832,0.0001084915,0.00003731496,0.00008968193,0.9784249,0.00005640224,0.0001009069,0.01669331],"study_design_scores_gemma":[0.00004486948,0.0007235624,0.09016228,0.00007227669,0.00005743675,0.003294159,0.0002108446,0.006225705,0.8931265,0.0003462175,0.005688595,0.00004755606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596055,0.00356431,0.02916443,0.0003569903,0.000109392,0.0003985978,0.002808639,0.0005765362,0.00341571],"genre_scores_gemma":[0.8965596,0.003104807,0.09102311,0.0003186479,0.00005529134,0.0002833322,0.004288317,0.00008810272,0.004278751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002702699,"threshold_uncertainty_score":0.005373955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294021617546783,"score_gpt":0.3057768132317325,"score_spread":0.2763746514770542,"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."}}